Prof. Javier Plaza Miguel

Javier Plaza was born in Caceres, SPAIN, in 1979. He received the Computer Engineer degree in 2002, the M.Sc. degree in 2004, and the Ph.D. degree in 2008, all in Computer Engineering. He was the recipient of the Outstanding Ph.D. Dissertation Award at the University of Extremadura in 2008. He is a Full Professor with the Department of Technology of Computers and Communications, where he has taught more than 18 different courses in Bachelor, Master and PhD. Degrees.

Dr. Plaza has authored or co-authored around 200 scientific publications, including more than 85 JCR journal papers, 4 edited special issue, 8 book chapters and over 100 peer-reviewed international conference proceedings (see profiles: Google Scholar, Orcid, Scopus, ResearchId, DBLP)

Dr. Plaza is Senior Member of IEEE and the IEEE Geoscience and Remote Sensing Society (GRSS) since 2009. He is Associate Editor of  IEEE Geoscience and Remote Sensing Letters since 2016 and Associate Editor of IEEE GRSS Remote Sensing Code Library since 2017 He has served as a Reviewer for more than 300 papers submitted to more than 50 different journals, including NATURE and several prestigious GRSS journals such as the PROCEEDINGS OF THE IEEE, TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, the IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATION AND REMOTE SENSING, the IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, the IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, and also other prestigious IEEE journals such as the IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, the IEEE TRANSACTIONS ON IMAGE PROCESSING, the IEEE TRANSACTIONS ON SIGNAL PROCESSING, the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING and IEEE TRANSACTIONS ON SYSTEMS; MAN AND CYBERNETICS C. He is member of the Editorial Board of several JCR indexed journals. Dr. Plaza has served as a proposal evaluator for the Spanish Ministry of Science and Innovation since 2008. He has also served as proposal evaluator for the Czech Science Foundation, the Luxemburg National Research Fund, the Chilean National Science and Technology Commission and the Observatorio Colombiano de Ciencia y Tecnología.

Dr. Plaza is the recipient of the Outstanding Ph.D. Dissertation Award at the University of Extremadura in 2008. Dr. Plaza is a recipient of the IEEE Signal Processing Magazine Best Column Paper Award, for the contribution entitled "Parallel Hyperspectral Image and Signal Processing" published in the IEEE Signal Processing Magazine in April 2011. He received the Top Cited Article award of Elsevier's Journal of Parallel and Distributed Computing (in 2005-2010) for the contribution entitled "Commodity Cluster-Based Parallel Processing of Hyperspectral Imagery." He is a recipient of the 2019 Outstanding Paper Award at the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, for the contribution entitled "Efficient Convolutional Neural Network for Spectral/Spatial Hyperspectral Denoising" and the 2008 Best Paper award at the IEEE Symposium on Signal Processing and Information Technology, for the contribution entitled "Morphological Feature Extraction and Spectral Unmixing of Hyperspectral Images."

His main research interests comprise hyperspectral image analysis, signal processing, deep learning, neural networks and efficient implementations of large-scale scientific problems on high performance computing architectures, including commodity clusters, heterogeneous networks of computers and grids, and specialized computer architectures such as field-programmable gate arrays (FPGAs) or graphical processing units (GPUs).

In the following, several bibliometric indicators about the research works of Dr. Plaza are provided. These indicators were collected on November 17, 2023:

• Clarivate Analytics Highly cited researcher: 2023 (source)

• 11 papers currently labeled as “Essential Science Indicators” (ESI) by Web of Science/Clarivate Analytics (source).

• Computer Science Leader Award for 2024 (source)

• Google Scholar: 12,362 citations, h-index: 48 (source).

• Scopus: 161 documents, 8,620 citations, h-index: 42, 6,0831 citing articles (source).

• Web of Science: 144 documents, 7,315 citations, h-index: 40, 5,681 citing articles 5,134 (source).

• DBLP: 79 journal articles and 50 conference and workshop papers (source).

• Orcid: 173 works (source).

• ResearchGate: 198 publications, 42,488 reads, 9,887 citations (source).

1. P. Zheng, Z. Wu, Y. Xu, J. Sun, F. Ye, C. Qin, Z. Wei, J. Plaza, J. Li and A. Plaza. Unified Cloud-Based Framework for Hyperspectral and Multispectral Image Fusion Incorporating Nonlocal Principles and Tensor Decomposition. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, Art no. 5513818, 2024 (pdf) [IF(2022)=8.2].

2. Y. Pan, Y. Xu, Z. Wu, Z. Wei, J. Plaza and A. Plaza. A Mask Guided Oriented Object Detector Based on Rotated Size-Adaptive Tricube Kernel. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, Art no. 5615815, 2024 (pdf) [IF(2022)=8.2].

3. Y. Wang, J. Cai, J. Zhou, J. Sun, Y. Xu, Y. Zhang, Z. Wei, J. Plaza, A. Plaza and Z. Wu. CE-RX: A Collaborative Cloud-Edge Anomaly Detection Approach for Hyperspectral Images. Remote Sensing, vol. 15, no. 17, 4242, 2023 (pdf) [IF(2022)=5.0].

4. P. Zheng, J. Sun, Y. Xu, Y. Zhang, Z. Wei, J. Plaza, A. Plaza and Z. Wu. Distributed Nonlocal Coupled Hierarchical Tucker Decomposition for Hyperspectral Image Fusion. IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, Art no. 5509505, 2023 (pdf) [IF(2022)=4.8].

5. L. Han, M. E. Paoletti, X. Tao, Z. Wu, J. M. Haut, J. Plaza and A. Plaza. Central Cohesion Gradual Hashing for Remote Sensing Image Retrieval. IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, Art no. 60025052023, 2023 (pdf) [IF(2022)=4.8].

6. Z. Wu, H. Su, X. Tao, L. Han, M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Hyperspectral Anomaly Detection with Relaxed Collaborative Representation. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, Art no. 5533417, 2022 (pdf) [IF(2022)=8.2].

7. X. Tao, M. E. Paoletti, L. Han, J. M. Haut, P. Ren, J. Plaza and A. Plaza. Fast Orthogonal Projection for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, Art no. 5523313, 2022 (pdf) [IF(2022)=8.2].

8. X. Tao, M. E. Paoletti, J. M. Haut, L. Han, P. Ren, J. Plaza and A. Plaza. Endmember Estimation from Hyperspectral Images Using Geometric Distances. IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, Art no. 5508405, 2022 (pdf) [IF(2022)=4.8].

9. J. M. Haut, A. Alcolea, M. E. Paoletti, J. Plaza, J. Resano and A. Plaza. GPU-Friendly Neural Networks for Remote Sensing Scene Classification. IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, Art no. 8001005, 2022 (pdf) [IF(2022)=4.8].

10. X. Tao, M. E. Paoletti, L. Han, Z. Wu, P. Ren, J. Plaza, A. Plaza and J. M. Haut. A New Deep Convolutional Network for Effective Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6999-7012, 2022 (pdf) [IF(2022=5.5].

11. A. Redondo, J. M. Haut, M. E. Paoletti, X. Tao, J. Plaza and A. Plaza. Analysis of Remotely Sensed Images Through Social Media. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 3026-3039, 2021 (pdf) [IF(2021)=4.715].

12. M. E. Paoletti, J. M. Haut, N. S. Pereira, J. Plaza and A. Plaza. Ghostnet for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 12, pp. 10378-10393, December 2021 (pdf) [IF(2021)=8.125].

13. J. M. Haut, M. E. Paoletti, S. Moreno-Alvarez, J. Plaza, Juan A. Rico-Gallego and A. Plaza. Distributed Deep Learning for Remote Sensing Data Interpretation. Proceedings of the IEEE, vol. 109, no. 8, pp. 1320-1349, August 2021 (pdf) [IF(2021)=14.910].

14. M. E. Paoletti, J. M. Haut, X. Tao, J. Plaza and A. Plaza. FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 7, pp. 5938-5952, July 2021 (pdf) [IF(2021)=8.125].

15. M. E. Paoletti, J. M. Haut, P. Ghamisi, N. Yokoya, J. Plaza and A. Plaza. U-IMG2DSM: Unpaired Simulation of Digital Surface Models with Generative Adversarial Networks. IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 7, pp. 1288-1292, July 2021 (pdf) [IF(2021)=5.343].

16. T. Alipour-Fard, M. E. Paoletti, J. M. Haut, H. Arefi, J. Plaza and A. Plaza. Multibranch Selective Kernel Networks for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 6, pp. 1089-1093, June 2021 (pdf) [IF(2021)=5.343].

17. X. Tao, M. E. Paoletti, J. M. Haut, P. Ren, J. Plaza and A. Plaza. Endmember Estimation with Maximum Distance Analysis. Remote Sensing, vol. 13, no. 4, 713, February 2021 (pdf) [IF(2021)=5.349].

18. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Scalable Recurrent Neural Network for Hyperspectral Image Classification. Journal of Supercomputing, vol. 76, pp. 8866-8882, November 2020 (pdf) [IF(2021)=2.557].

19. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Neighboring Region Dropout for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 6, pp. 1032-1036, June 2020 (pdf) [IF(2020)=3.966].

20. N. He, L. Fang, S. Li, J. Plaza and A. Plaza. Skip-Connected Covariance Network for Remote Sensing Scene Classification. IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 5, pp. 1461-1474, May 2020 (pdf) [IF(2020)=10.451].

21. A. Maffei, J. M. Haut, M. E. Paoletti, J. Plaza, L. Bruzzone and A. Plaza. A Single Model CNN for Hyperspectral Image Denoising. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 4, pp. 2516-2529, April 2020 (pdf) [IF(2020)=5.600].

22. M. E. Paoletti, J. M. Haut, X. Tao, J. Plaza and A. Plaza. A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification. Remote Sensing, vol. 12, no. 8, 1257, April 2020 (pdf) [IF(2020)=4.848].

23. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Neural Ordinary Differential Equations for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 3, pp. 1718-1734, March 2020 (pdf) [IF(2020)=5.600].

24. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Deep Learning Classifiers for Hyperspectral Imaging: A Review. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 158, pp. 279-317, December 2019 (pdf) [IF(2019)=7.319].

25. J. M. Haut, Jose A. Gallardo, M. E. Paoletti, G. Cavallaro, J. Plaza, A. Plaza and M. Riedel. Cloud Deep Networks for Hyperspectral Image Analysis. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 9832-9848, December 2019 (pdf) [IF(2019)=5.855].

26. J. M. Haut, R. Fernandez-Beltran, M. E. Paoletti, J. Plaza and A. Plaza. Remote Sensing Image Super-Resolution Using Deep Residual Channel Attention. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 9277-9289, November 2019 (pdf) [IF(2019)=5.855].

27. J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and J. Li. Hyperspectral Image Classification Using Random Occlusion Data Augmentation. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 11, pp. 1751-1755, November 2019 (pdf) [IF(2019)=3.833].

28. J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and J. Li. Visual Attention-Driven Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 10, pp. 8065-8080, October 2019 (pdf) [IF(2019)=5.855].

29. J. M. Haut, M. E. Paoletti, R. Fernandez-Beltran, J. Plaza, A. Plaza and J. Li. Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 9, pp. 1432-1436, September 2019 (pdf) [IF(2019)=3.833].

30. J. A. Gallardo, M. E. Paoletti, J. M. Haut, R. Fernandez-Beltran, J. Plaza and A. Plaza. GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 9, pp. 3156-3167, September 2019 (pdf) [IF(2019)=3.827].

31. J. M. Haut, S. Bernabe, M. E. Paoletti, R. Fernandez-Beltran, A. Plaza and J. Plaza. Low-High Power Consumption Architectures for Deep Learning Models Applied to Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 5, pp. 776-780, May 2019 (pdf) [IF(2019)=3.833].

32. M. E. Paoletti, J. M. Haut, R. Fernandez-Beltran, J. Plaza, A. Plaza, J. Li and F. Pla. Capsule Networks for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 4, pp. 2145-2160, April 2019 (pdf) [IF(2019)=5.855].

33. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Estudio Comparativo de Técnicas de Clasificación de Imágenes Hiperespectrales. Revista Iberoamericana de Automatica e Informatica Industrial (in Spanish), vol. 16, no. 2, pp. 129-137, April 2019 (pdf) [IF(2019)=1.036].

34. M. E. Paoletti, J. M. Haut, R. Fernandez-Beltran, J. Plaza, A. Plaza and F. Pla. Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, pp. 740-754, February 2019 (pdf) [IF(2019)=5.855].

35. N. He, M. E. Paoletti, J. M. Haut, L. Fang, S. Li, A. Plaza and J. Plaza. Feature Extraction with Multiscale Covariance Maps for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, pp. 755-769, February 2019 (pdf) [IF(2019)=5.855].

36. N. He, L. Fang, S. Li, A. Plaza and J. Plaza. Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 12, pp. 6899-6910, December 2018 (pdf) [IF(2018)=5.630].

37. R. Fernandez-Beltran, J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and F. Pla. Remote Sensing Image Fusion Using Hierarchical Multi-Modal Probabilistic Latent Semantic Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 12, pp. 4982-4993, December 2018 (pdf) [IF(2018)=3.392].

38. E, Torti, A. Fontanella, A. Plaza, J. Plaza and F. Leporati. Hyperspectral Image Classification Using Parallel Autoencoding Diabolo Networks on Multi-Core and Many-Core Architectures. Electronics, vol. 7, no. 12, 411, December 2018 (pdf) [IF(2018)=1.764].

39. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. A New Deep Convolutional Neural Network for Fast Hyperspectral Image Classification. ISPRS Journal of Photogrammetry and Remote Sensing, vol. 145, Part A, pp. 120-147, November 2018 (pdf) [IF(2018)=6.942].

40. R. Fernandez-Beltran, A. Plaza, J. Plaza and F. Pla. Hyperspectral Unmixing based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis. IEEE Transactions on Geoscience and Remote Sensing, vol. 11, no. 56, pp. 6344-6360, November 2018 (pdf) [IF(2018)=5.630].

41. J. M. Haut, M. E. Paoletti, J. Plaza, J. Li and A. Plaza. Active Learning with Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6440-6461, November 2018 (pdf) [IF(2018)=5.630].

42. C. Chen, W. Li, L. Gao, H. Li, J. Plaza. Editorial - Special issue on advances in real‑time image processing for remote sensing. Journal of Real-Time Image Processing, vol. 15, 41, October 2018 [IF(2017)=1.574].

43. A. Marinoni, J. Plaza, A. Plaza and P. Gamba. Estimating Nonlinearities in p-Linear Hyperspectral Mixtures. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6586-6595, November 2018 (pdf) [IF(2018)=5.630].

44. J. M. Haut, R. Fernandez-Beltran, M. E. Paoletti, J. Plaza, A. Plaza and F. Pla. A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 11, pp. 6792-6810, November 2018 (pdf) [IF(2018)=5.630].

45. J. M. Haut, M. E. Paoletti, J. Plaza and A. Plaza. Fast Dimensionality Reduction and Classification of Hyperspectral Images with Extreme Learning Machines. Journal of Real-Time Image Processing, vol. 15, no. 3, pp. 439-462, October 2018 (pdf) [IF(2018)=2.588].

46. C. Li, L. Gao, Y. Wu, B. Zhang, J. Plaza and A. Plaza. A Real-Time Unsupervised Background Extraction-Based Target Detection Method for Hyperspectral Imagery. Journal of Real-Time Image Processing, vol. 15, no. 3, pp. 597-615, October 2018 (pdf) [IF(2018)=2.588].

47. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Deep&Dense Convolutional Neural Network for Hyperspectral Image Classification. Remote Sensing, vol. 10, no. 9, 1454, September 2018 (pdf) [IF(2018)=4.118].

48. Y. Su, A. Marinoni, J. Li, J. Plaza, P. Gamba. Stacked Nonnegative Sparse Auto-encoders for Hyperspectral Unmixing, IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 9, pp. 1427-1431, September 2018 [IF(2017)=2.892]

49. R. Fernandez-Beltran, J. M. Haut, M. E. Paoletti, J. Plaza, A. Plaza and F. Pla. Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 9, pp. 1347-1351, September 2018 (pdf) [IF(2018)=3.534].

50. S. Zhang, J. Li, H.-C. Li, C. Deng and A. Plaza. Spectral-Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 6, pp. 3265-3276, June 2018 (pdf) [IF(2018)=5.630].

51. L. Fang, N. He, S. Li, A. Plaza and J. Plaza. A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 6, pp. 3534-3546, June 2018 (pdf) [IF(2018)=5.630].

52. S. Bernabe, L. I. Jimenez, C. Garcia, J. Plaza and A. Plaza. Multi-Core Real-Time Implementation of a Full Hyperspectral Unmixing Chain. IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 5, pp. 744-748, May 2018 (pdf) [IF(2018)=3.534].

53. Z. Wu, L. Shi, J. Li, Q. Wang, L. Sun, Z. Wei, J. Plaza and A. Plaza. GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp. 1131-1143, April 2018 (pdf) [IF(2018)=3.392].

54. P. Ghamisi, N. Yokoya, J. Li, W. Liao, S. Liu, J. Plaza, B. Rasti and A. Plaza. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art. IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 37-78, December 2017 (pdf) [IF(2017)=4.932].

55. B. Rasti, P. Ghamisi, J. Plaza and A. Plaza. Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 11, pp. 6354-6365, November 2017 (pdf) [IF(2017)=4.662].

56. Z. He, J. Li, J. Plaza, J. Chen, H. Wu, Y. Wnag and Y. Liu. Social Media: New Perspectives to Improve Remote Sensing for Emergency Response. Proceedings of the IEEE, vol. 105, no. 10, pp. 1900-1912, October 2017 [IF(2017)=9.107].

57. R. Hang, Q. Liu, Y. Sun, X. Yuan, H. Pei, J. Plaza and A. Plaza. Robust Matrix Discriminative Analysis for Feature Extraction from Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 5, pp. 2002-2011, May 2017 (pdf) [IF(2017)=2.777].

58. L. I. Jimenez, S. Sanchez, G. Martin, J. Plaza and A. Plaza. Parallel Implementation of Spatial-Spectral Endmember Extraction on Graphics Processing Units. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 4, pp. 1247-1255, April 2017 (pdf) [IF(2017)=2.777].

59. P. Ghamisi, J. Plaza, Y. Chen, J. Li and A. Plaza. Advanced Supervised Spectral Classifiers for Hyperspectral Images: A Review. IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 1, pp. 8-32, March 2017 (pdf) [IF(2017)=4.932].

60. L. I. Jimenez, J. Plaza and A. Plaza. Efficient Implementation of Morphological Index for Building/Shadow Extraction from Remotely Sensed Images. Journal of Supercomputing, vol. 73, no. 1, pp. 482-494, January, 2017 (pdf) [IF(2017)=1.532].

61. J. M. Haut, M. E. Paoletti, J. Plaza and A. Plaza. Cloud Implementation of the K-Means Algorithm for Hyperspectral Image Analysis. Journal of Supercomputing, vol. 73, no. 1, pp. 514-529, January, 2017 (pdf) [IF(2017)=1.532].

62. Q. Liu, R. Hang, H. Song, F. Zhu, J. Plaza and A. Plaza. Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification. CoRR abs/1611.03589, 2016 (pdf).

63. L. I. Jimenez, G. Martin, S. Sanchez, C. Gonzalez, S. Bernabe, J. Plaza and A. Plaza. GPU Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 11, pp. 1671-1675, November 2016 (pdf) [IF(2016)=2.761].

64. J. Delgado, G. Martin, J. Plaza, L. I. Jimenez and A. Plaza. Fast Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data on Graphics Processing Units. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 2, pp. 952-961, February 2016 (pdf) [IF(2016)=2.913].

65. A. Marinoni, J. Plaza, A. Plaza and P. Gamba. Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2644-2654, June 2015 (pdf) [IF(2015)=2.145].

66. E. M. T. Hendrix, I. Garcia, J. Plaza and A. Plaza. On the Minimum Volume Simplex Enclosure for Estimating a Linear Mixing Model. Journal of Global Optimization, vol. 56, no. 3, pp. 957-970, July 2013 (pdf) [IF(2013)=1.355].

67. E. M. T. Hendrix, I. Garcia, J. Plaza, G. Martin and A. Plaza. A New Minimum Volume Enclosing Algorithm for Endmember Identification and Abundance Estimation in Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 7, pp. 2744-2757, July 2012 (pdf) [IF(2012)=3.467].

68. J. Plaza, E. M. T. Hendrix, I. Garcia, G. Martin and A. Plaza. On Endmember Identification in Hyperspectral Images without Pure Pixels: A Comparison of Algorithms. Journal of Mathematical Imaging and Vision, vol. 42, no. 2-3, pp. 163-175, February 2012 (pdf) [IF(2012)=1.767].

69. A. Plaza, J. Plaza, A. Paz and S. Sanchez. Parallel Hyperspectral Image and Signal Processing. IEEE Signal Processing Magazine, vol. 28, no. 3, pp. 119-126, May 2011 (pdf) [IF(2011)=4.066].

70. A. Plaza, J. Plaza and H. Vegas. Improving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems. Journal of Signal Processing Systems, vol. 50, pp. 293-315, December 2010 (pdf) [IF(2010)=0.623].

71. A. Plaza, J. Plaza and A. Paz. Improving the Scalability of Hyperspectral Imaging Applications on Heterogeneous Platforms Using Adaptive Run-Time Data Compression. Computers & Geosciences, vol. 36, no. 10, pp. 1283-1291, October 2010 (pdf) [IF(2010)=1.416].

72. A. Plaza, J. Plaza and A. Paz. Parallel Heterogeneous CBIR System for Efficient Hyperspectral Image Retrieval Using Spectral Mixture Analysis. Concurrency and Computation: Practice & Experience, vol. 22, no. 9, pp. 1138-1159, June 2010 (pdf) [IF(2010)=0.907].

73. J. Plaza and A. Plaza. Spectral Mixture Analysis of Hyperspectral Scenes Using Intelligently Selected Training Samples. IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 2, pp. 371-375, April 2010 (pdf) [IF(2010)=1.431].

74. J. Plaza, A. Plaza, R. Perez and P. Martinez. On the Use of Small Training Sets for Neural Network-Based Characterization of Mixed Pixels in Remotely Sensed Hyperspectral Images. Pattern Recognition, vol. 42, no. 11, pp. 3032-3045, November 2009 (pdf) [IF(2009)=2.554].

75. J. Plaza, A. Plaza and C. Barra. Multi-Channel Morphological Profiles for Classification of Hyperspectral Image Data Using Support Vector Machines. Sensors, vol. 9, no. 1, pp. 196-218, January 2009 (pdf) [IF(2009)=1.821].

76. D. Valencia, A. Lastovetsky, M. O'Flynn, A. Plaza and J. Plaza. Parallel Processing of Remotely Sensed Hyperspectral Images on Heterogeneous Networks of Workstations Using HeteroMPI. International Journal of High Performance Computing Applications, vol. 22, no. 4, pp. 386-407, November 2008 (pdf)  [IF(2008)=1.824].

77. J. Plaza, R. Perez, A. Plaza, P. Martinez and D. Valencia. Parallel Morphological/Neural Processing of Hyperspectral Images Using Heterogeneous and Homogeneous Platforms. Cluster Computing, vol. 11, no. 1, pp. 17-32, March 2008 (pdf)  [IF(2008)=0.591].

78. A. Plaza, D. Valencia and J. Plaza. An Experimental Comparison of Parallel Algorithms for Hyperspectral Analysis Using Homogeneous and Heterogeneous Networks of Workstations. Parallel Computing, vol. 34, no. 2, pp. 92-114, February 2008 (pdf)  [IF(2008)=1.309].

79. A. Plaza, J. Plaza and D. Valencia. Impact of Platform Heterogeneity on the Design of Parallel Algorithms for Morphological Processing of High-Dimensional Image Data. Journal of Supercomputing, vol. 40, no. 1, pp. 81-107, April 2007 (pdf) [IF(2007)=0.246].

80. D. Valencia, A. Plaza, P. Martinez and J. Plaza. Parallel Processing of High-Dimensional Remote Sensing Images Using Cluster Computer Architectures. International Journal of Computers and their Applications, vol. 14, no. 1, pp. 23-34, March 2007 (pdf).

81. A. Plaza, D. Valencia, J. Plaza and C.-I Chang. Parallel Implementation of Endmember Extraction Algorithms from Hyperspectral Data. IEEE Geoscience and Remote Sensing Letters, vol. 3, no. 3, pp. 334-338, July 2006 (pdf) [IF(2007)=1.140]. 

82. A. Plaza, D. Valencia, J. Plaza and P. Martinez. Commodity Cluster-Based Parallel Processing of Hyperspectral Imagery. Journal of Parallel and Distributed Computing, vol. 66, no. 3, pp. 345-358, March 2006 (pdf) [IF(2006)=0.430].

83. P. Martinez, R.M. Perez, A. Plaza, P.L. Aguilar, M.C. Cantero and J. Plaza. Endmember Extraction Algorithms from Hyperspectral Images. Annals of Geophysics, vol. 49, no. 1, pp. 93-101, February 2006 (pdf) [IF(2006)=0.441].

84. A. Plaza, P. Martinez, J. Plaza and R.M. Perez. Dimensionality Reduction and Classification of Hyperspectral Image Data Using Sequences of Extended Morphological Transformations, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 3, pp. 466-479, March 2005 (pdf) [IF(2005)=1.627]. 

85. A. Plaza, P. Martinez, R.M. Perez and J. Plaza. A New Approach to Mixed Pixel Classification of Hyperspectral Imagery Based on Extended Morphological Profiles, Pattern Recognition, vol. 37, no. 6, pp. 1097-1116, June 2004 (pdf) [IF(2004)=2.176].

86. A. Plaza, P. Martinez, R.M. Perez and J. Plaza. A Quantitative and Comparative Analysis of Endmember Extraction Algorithms from Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 3, pp. 650-663, March 2004 (pdf) [IF(2004)=1.467]. 

87. A. Plaza, P. Martinez, J. Plaza, R.M. Perez, P.L. Aguilar, M.C. Cantero. Algoritmos de extracción de endmembers en imágenes hiperespectrales. Revista de Teledetección (in Spanish), no. 21, pp. 101-105, 2004 (pdf).

88. A. Plaza, P. Martinez, R.M. Perez and J. Plaza. Spatial/Spectral Endmember Extraction by Multidimensional Morphological Operations, IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 9, pp. 2025-2041, September 2002 (pdf) [IF(2002)=1.603]. 

1. R. Tao, X. Sun, J. Plaza, L. Du, W. Li. Detection and Identification of Non-cooperative Small Targets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019 [IF(2018)=3.292].

2. F. Del Frate, J. Plaza. Recent Advances in Neural Networks for Remote Sensing. Remote Sensing. 2018 [IF(2016)=3.244]. 

3. C. Chen, J. Plaza, W. Li, L. Gao, H. Li. Advances in Real-Time Image Processing for Remote Sensing. Journal of Real-Time Image Processing. 2018 [JCR(2016)=2010]. 

4. J. Plaza, E. Merènyi, F. Del Frate. Special Issue on Neural Networks for Interpretation of Remotely Sensed Data. EURASIP Journal on Advances in Signal Processing. January 2012 [IF(2012)=0.81]. 

1. J. R. G. Braga , V. C. Gomes, E. H. Shiguemori, H. F. C. Velho, A. Plaza, J. Plaza. Nonlinear Method of Reduction of Dimensionality Based on Artificial Neural Network and Hardware Implementation, in: Integral Methods in Science and Engineering. Edited by Christian Constanda and Andreas Kirsch, Springer International Publishing, 2015, ISBN: 9783319167268, pp. 69-79. 

2. A. Plaza, J. Plaza, G. Martin and S. Sanchez. Hyperspectral Data Processing Algorithms, in: Hyperspectral Remote Sensing of Vegetation. Edited by P. S. Thenkabail, J. G. Lyon and A. Huete, Taylor & Francis, 2011, ISBN: 9781439845370, pp. 121-137. 

3. A. Plaza, G. Martin, J. Plaza, M. Zortea and S. Sanchez. Recent Developments in Spectral Unmixing and Endmember Extraction, in: Optical Remote Sensing - Advances in Signal Processing and Exploitation Techniques. Edited by S. Prasad, L. Bruce and J. Chanussot, Springer, 2011, ISBN: 978-3-642-1241-6, pp. 235-268. 

4. J. Plaza, A. Plaza, R. Perez and P. Martinez. Parallel Classification of Hyperspectral Images Using Neural Networks, in: Computational Intelligence for Remote Sensing. Edited by M. Graña and R. J. Duro, Series: Studies in Computational Intelligence, vol. 133, Springer Berlin, 2008, ISBN: 978-3-540-79352-6, pp. 193-216. 

5. J. Plaza, R. Perez, A. Plaza, P. Martinez and D. Valencia. Parallel Implementation of Morphological Neural Networks for Hyperspectral Image Analysis, in: High Performance Computing in Remote Sensing. Edited by A. Plaza and C.-I Chang, Chapman & Hall/CRC Press, Computer & Information Science Series, Boca Raton, Florida, October 2007, ISBN: 9781584886624, pp. 131-150, 2007. 

6. D. Valencia, P. Martínez, A. Plaza and J. Plaza. Parallel Wildland Fire Monitoring and Tracking Using Heterogeneous Computing Resources, in: High Performance Computing in Remote Sensing. Edited by A. Plaza and C.-I Chang, Chapman & Hall/CRC Press, Computer & Information Science Series, Boca Raton, Florida, October 2007, ISBN: 9781584886624, pp. 151-182, 2007. 

7. A. Plaza, J. Plaza, D. Valencia and P. Martinez. Parallel Segmentation of Multispectral Images Using Multidimensional Mathematical Morphology, in: Advances in Image and Video Segmentation. Edited by Y.J. Zhang, IRM Press, Pennsylvania, ISBN: 1591407532, pp. 270-291, 2006. 

1. J. Hu, S. Wu, Z. Wu, Y. Zhang, J. Plaza and A. Plaza. Hyperspectral and Multispectral Image Fusion Target Detection Based on Cloud-Edge Collaboration. IEEE Geoscience and Remote Sensing Symposium (IGARSS'23), Pasadena, California, 2023 (pdf).

2. Z. Wu, H. Su, X. Tao, L. Han, M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative Representation. IEEE Geoscience and Remote Sensing Symposium (IGARSS'22), Kuala Lumpur, Malaysia, 2022 (pdf).

3. X. Tao, M. E. Paoletti, L. Han, Z. Wu, L. I. Jimenez, J. M. Haut, P. Ren, J. Plaza and A. Plaza. A New 3D Convolution Network for Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'22), Kuala Lumpur, Malaysia, 2022 (pdf).

4. X. Tao, L. Han, M. E. Paoletti, S. K. Roy, J. Plaza, J. M. Haut and A. Plaza. Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'21), Brussels, Belgium, 2021 (pdf).

5. Z. Liu, J. Li, J. Plaza and A. Plaza. Subspace Optimal Transport for Spatial Bias Correction of Social Media Data: A Case Study of 2013 Boulder Flood Event. IEEE Geoscience and Remote Sensing Symposium (IGARSS'21), Brussels, Belgium, 2021 (pdf).

6. N. Pereira, J. Plaza, J. M. Haut and A. Plaza. On the Evaluation of Machine Learning Algorithms for Hyperspectral Image Classification on a Heterogeneous Computing Device. 16th Iberian Conference on Information Systems and Technology (CISTI'21), Chaves, Portugal, 2021 (pdf).

7. L. Yan, Y. Hu, X. Li, J. Li, Y. Zhang, C. Dou, J. Plaza and A. Plaza. Radiometric Calibration of Fengyun-3D Mersi-II Satellite: A Case Study in Lake Qinghai, China. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020 (pdf).

8. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Training CapsNets via Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020 (pdf).

9. Z. Zeng, S. Qian, J. Plaza, A. Plaza and J. Li. Spatial Downscaling for Global Precipitation Measurement Using a Geographically and Temporally Weighted Regression Model. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020 (pdf).

10. Z. Liu, J. Li, J. Plaza and A. Plaza. Spatial Bias Correction of Social Media Data by Exploiting Remote Sensing Knowledge in Data-Deficient Regions. IEEE Geoscience and Remote Sensing Symposium (IGARSS'20), Hawaii, USA, 2020 (pdf).

11. S. A. Rodriguez Gonzalez, M. Shimoni, J. Plaza, A. Plaza, I. Renhorn and J. Ahlberg. The Detection of Concealed Targets in Woodland Areas Using Hyperspectral Imagery. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS'20), Santiago, Chile, 2020 (pdf).

12. A. Maffei, J. M. Haut, M. E. Paoletti, J. Plaza, L. Bruzzone and A. Plaza. Efficient Convolutional Neural Network for Spectral-Spatial Hyperspectral Denoising. IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS’19), Amsterdam, The Netherlands, 2019 (pdf).

13. Y. Su, J. Li, H. Qi, P. Gamba, A. Plaza and J. Plaza. Multi-Task Learning with Low-Rank Matrix Factorization for Hyperspectral Nonlinear Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019 (pdf).

14. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Solving Deep Neural Networks with Ordinary Differential Equations for Remotely Sensed Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019 (pdf).

15. S. Bernabe, C. Garcia, R. Fernandez-Beltran, M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Open Multi-Processing Acceleration for Unsupervised Land Cover Categorization Using Probabilistic Latent Semantic Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'19), Yokohama, Japan, 2019 (pdf).

16. J. M. Haut, R. Fernandez-Beltran, M. E. Paoletti, J. Plaza, A. Plaza and F. Pla. Inter-Sensor Regression Analysis for Operational Sentinel-2 and Sentinel-3 Data Products. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018 (pdf).

17. J. M. Haut, Y. Liu, M. E. Paoletti, X. Xu, J. Plaza and A. Plaza. Evaluation of Different Regularization Methods for the Extreme Learning Machine Applied to Hyperspectral Images. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018 (pdf).

18. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. An Investigation of Self-Normalized Deep Neural Networks for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'18), Valencia, Spain, 2018 (pdf).

19. E. Torti, A. Fontanella, G. Danese, A. Plaza, J. Plaza, F. Leporatti. Hyperspectral Image classification through parallel autoencoder on GPUs, 24th International European Conference on Parallel and distributed Computing, Turin, Italy, 2018.

20. C. Zhu, S. Zang, J. Plaza, J. Li and A. Plaza. Impervious Surface Extraction from Multispectral Images Using Morphological Attribute Profiles and Spectral Mixture Analysis. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, Texas, 2017 (pdf).

21. S. Zhang, J. Li, J. Plaza, H.-C. Li and A. Plaza. Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, Texas, 2017 (pdf).

22. M. Peñalver, F. Del Frate, M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Onboard Payload-Data Dimensionality Reduction. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, Texas, 2017 (pdf).

23. M. E. Paoletti, J. M. Haut, J. Plaza, A. Plaza, Q. Liu and R. Hang. Multicore Implementation of the Multi-Scale Adaptive Deep Pyramid Matching Model for Remotely Sensed Image Classification. IEEE Geoscience and Remote Sensing Symposium (IGARSS'17), Fort Worth, Texas, 2017 (pdf).

24. J. M. Haut, M. E. Paoletti, A. Paz-Gallardo, J. Plaza and A. Plaza. Cloud Implementation of Logistic Regression for Hyperspectral Image Classification. Proceedings of the 17th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'17), Rota, Spain, 2017 (pdf).

25. M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Yingyang K-Means Clustering for Hyperspectral Image Analysis. Proceedings of the 17th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'17), Rota, Spain, 2017 (pdf).

26. M. Paoletti, M. Haut, J. Plaza, A. Plaza. Convolutional Generative Adversarial Networks for Hyperspectral Image Analysis, SPIE Remote Sensing Europe Conference, Warsaw, Poland, 2017.

27. F. Dell'Acqua, D. De Vecchi, A. Frery, P. Gamba, A. Lage, A. Marinoni, A. Plaza, J. Plaza, M. Scavuzzo, M. Shimoni, A. Lanfri. EO-based Mapping of Environmental Health Risks: the H2020 EOXPOSURE Project, ESA Earth Observation Open Science 2017 Conference - ESRIN, Frascati, Italy, 2017.

28. J. Delgado, G. Martin, J. Plaza, L. I. Jimenez and A. Plaza. On the Optimization of Memory Access to Increase the Performance of Spatial Preprocessing Techniques on Graphics Processing Units. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016 (pdf).

29. L. I. Jimenez, G. Martin, S. Sanchez, J. Plaza and A. Plaza. Fast Spatial-Spectral Preprocessing for Endmember Extraction and Spectral Unmixing Using Graphics Processing Units. IEEE Geoscience and Remote Sensing Symposium (IGARSS'16), Beijing, China, 2016 (pdf).

30. A. Marinoni, J. Plaza, A. Plaza and P. Gamba. An Iterative Enhancement of Higher Order Nonlinear Mixture Model for Accurate Hyperspectral Unmixing. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'16), Los Angeles, California, 2016 (pdf).

31. J. M. Haut, M. Paoletti, J. Plaza and A. Plaza. Cloud Implementation of the K-Means Algorithm for Hyperspectral Image Analysis. Proceedings of the International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'16), Rota, Spain, 2016 (pdf).

32. L. I. Jimenez, J. Plaza and A. Paza. Efficient Implementation of Morphological Index for Building/Shadow Extraction from Remotely Sensed Images. Proceedings of the International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'16), Rota, Spain, 2016 (pdf).

33. L. I. Jimenez, S. Bernabe, C. Garcia, J. Plaza, G. Martin, S. Sanchez and A. Plaza. Multi-Core Implementation of Spatial-Spectral Preprocessing for Hyperspectral Unmixing. Proceedings of the International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'16), Rota, Spain, 2016 (pdf).

34. L. I. Jimenez, J. Plaza, A. Plaza and J. Li. Spatial-Spectral Preprocessing for Endmember Extraction on GPUs. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2016.

35. J. Delgado, G. Martin, J. Plaza, L. I. Jimenez and A. Plaza. GPU Implementation of Spatial Preprocessing for Spectral Unmixing of Hyperspectral Data. IEEE Geoscience and Remote Sensing Symposium (IGARSS'15), Milan, Italy, 2015 (pdf).

36. F. del Frate, I. Fabrini, M. Picchiani, A. Plaza and J. Plaza. GPU Implementations for Dimensionality Reduction of Hyperspectral Data with Auto-Associative Neural Networks. IEEE Geoscience and Remote Sensing Symposium (IGARSS'14), Quebec City, Canada, 2014.

37. A. Marinoni, J. Plaza, A. Plaza and P. Gamba. Integrating Multiple Nonlinear Estimators into Hyperspectral Unmixing. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'14), Lausanne, Switzerland, 2014 (pdf).

38. J. Gomez Franco, J. Plaza and A. Plaza. GPU Implementation of a Neural Network-Based Classifier for Hyperspectral Data. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Edinburgh, United Kingdom, 2012.

39. G. Martin, J. Plaza and A. Plaza. On the Incorporation of Spatial Information to Endmember Identification Algorithms without the Pure Pixel Assumption. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'11), Lisbon, Portugal, 2011 (pdf).

40. A. Plaza and J. Plaza. Parallel Implementation of Linear and Nonlinear Spectral Unmixing of Remotely Sensed Hyperspectral Images. SPIE Remote Sensing Europe, High Performance Computing in Remote Sensing Conference, Prague, Czech Republic, 2011 (pdf).

41. A. Plaza, S. Sanchez, A. Paz and J. Plaza. GPUs versus FPGAs for Onboard Compression of Hyperspectral Data. 2nd International Workshop on On-Board Payload Data Compression (OBPDC'10), CNES, Toulouse, France, 2010 (pdf).

42. I. Garcia, E. M. T. Hendrix, J. Plaza and A. Plaza. Spectral Unmixing Based on a Minimum Volume Simplicial Enclosure Model. Toulouse Global Optimization Workshop (TOGO'10), Toulouse, France, 2010 (pdf).

43. A. Plaza and J. Plaza. Impact of Vector Ordering Strategies on Morphological Unmixing of Remotely Sensed Hyperspectral Images. 20th International Conference on Pattern Recognition (ICPR'10), Istambul, Turkey, 2010 (pdf).

44. J. Plaza and A. Plaza. Comparative Analysis of Training Strategies for Neural Network-Based Spectral Unmixing of Laboratory-Simulated Forest Hyperspectral Scenes. Workshop on Pattern Recognition in Remote Sensing, 20th International Conference on Pattern Recognition (ICPR'10), Istambul, Turkey, 2010 (pdf).

45. A. Plaza and J. Plaza. Automatic Selection of Informative Samples for SVM-Based Classification of Hyperspectral Data Using Limited Training Sets. IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS'10), Reykjavik, Iceland, 2010 (pdf).

46. E. Hendrix, I. Garcia, J. Plaza and A. Plaza. Minimum Volume Simplicial Enclosure for Spectral Unmixing of Remotely Sensed Hyperspectral Data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'10), Hawaii, USA, 2010 (pdf).

47. A. Plaza, J. Plaza, I. Dopido, G. Martin, M. D. Iordache and S. Sanchez. New Hyperspectral Unmixing Techniques in the Framework of the Earth Observation Optical Data Calibration and Information Extraction (EODIX) Project. 3rd International Symposium on Recent Advances in Quantitative Remote Sensing (RAQRS'10), Valencia, Spain, 2010 (pdf).

48. S. Sanchez, G. Martin, A. Plaza and J. Plaza. Near Real-Time Endmember Extraction from Remotely Sensed Hyperspectral Data Using NVidia GPUs. SPIE Photonics Europe, Real-Time Image and Video Processing Conference, Brussels, Belgium, 2010 (pdf).

49. A. Plaza, J. Plaza and G. Martin. Spatial-Spectral Endmember Extraction from Hyperspectral Imagery Using Multi-Band Morphology and Volume Optimization. IEEE International Conference on Image Processing (ICIP'09), Cairo, Egypt, 2009 (pdf).

50. A. Plaza, J. Plaza and G. Martin. Incorporation of Spatial Constraints into Spectral Mixture Analysis of Remotely Sensed Hyperspectral Data. IEEE International Workshop on Machine Learning for Signal Processing (MLSP'09), Grenoble, France, 2009 (pdf).

51. J. Plaza, A. Plaza, D. Valencia and A. Paz. Massively Parallel Processing of Hyperspectral Images. SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2009 (pdf).

52. A. Paz, A. Plaza and J. Plaza. Comparative Analysis of Different Implementations of a Parallel Algorithm for Automatic Target Detection and Classification of Hyperspectral Images. SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2009 (pdf).

53. A. Plaza, J. Plaza, S. Sanchez and A. Paz. Lossy Hyperspectral Image Compression Tuned for Spectral Mixture Analysis Applications on NVidia Graphics Processing Units. SPIE Optics and Photonics, Satellite Data Compression, Communication, and Processing Conference, San Diego, CA, 2009 (pdf).

54.  J. Plaza and A. Plaza. A Fast Sequential Endmember Extraction Algorithm Based on Unconstrained Linear Spectral Unmixing. SPIE Remote Sensing Europe, Image and Signal Processing for Remote Sensing Conference, Berlin, Germany, 2009 (pdf).

55. A. Plaza, J. Plaza, H. Vegas and S. Sanchez. Parallel Implementation of Endmember Extraction Algorithms Using NVidia Graphical Processing Units. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'09), Cape Town, South Africa, 2009 (pdf).

56. F. Ayuso, J. Setoain, M. Prieto, C. Tenllado, F. Tirado, J. Plaza and A. Plaza. Endmember Extraction from Hyperspectral Imagery Using a Parallel Ensemble Approach with Consensus Analysis. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'09), Cape Town, South Africa, 2009 (pdf).

57. A. Plaza, J. Plaza and A. Paz. Improving the Scalability of Parallel Algorithms for Hyperspectral Image Analysis Using Adaptive Message Compression. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'09), Cape Town, South Africa, 2009 (pdf).

58. A. Plaza, J. Plaza, S. Sanchez and A. Paz. Optimizing a Hyperspectral Image Processing Chain Using Heterogeneous and GPU-Based Parallel Computing Architectures. 9th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE'09), Gijon, Spain, 2009 (pdf).

59. A. Plaza, J. Plaza and A. Cristo. Morphological Feature Extraction and Spectral Unmixing of Hyperspectral Images. IEEE International Symposium on Signal Processing and Information Technology (ISSPIT'08), Sarajevo, Bosnia & Herzegovina, 2008 (pdf). Distinguished with the Best Paper Award of the Symposium.

60. A. Plaza and J. Plaza. Parallel Morphological Classification of Hyperspectral Imagery Using Extended Opening and Closing by Reconstruction Operations. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'08), Boston, MA, 2008 (pdf).

61. J. Plaza, A. Plaza, R. Perez and P. Martinez. Parallel Morphological Neural Networks for Hyperspectral Image Classification on Fully Heterogeneous and Homogeneous Networks of Workstations. Parallel Computing (ParCo'2007), Forschungszentrum Jülich, Aachen, Germany, 2007 (pdf).

62. A. Plaza, J. Plaza, A. Paz and S. Blazquez. Parallel CBIR System for Efficient Hyperspectral Image Retrieval from Heterogeneous Networks of Workstations. Workshop on Grid Computing Applications Development (GridCAD), Timisoara, Romania, 2007 (pdf).

63. A. Plaza, D. Valencia, S. Blazquez and J. Plaza. Parallel Detection of Targets in Hyperspectral Images Using Heterogeneous Networks of Workstations. 15th Euromicro Parallel and Distributed Processing Conference (PDP'2007), Naples, Italy, 2007 (pdf).

64. J. Plaza, R. Perez, P. Martinez and A. Plaza. Joint Linear/Nonlinear Spectral Unmixing of Hyperspectral Image Data. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'07), Barcelona, Spain, 2007 (pdf).

65. J. Plaza, A. Plaza, P. Gamba and G. Trianni. Efficient Multi-Band Texture Analysis for Remotely Sensed Data Interpretation in Urban Areas. 4th IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Urban'07), Paris, France, 2007 (pdf).

66. A. Plaza, J. Plaza and D. Valencia. Distributed Computing for Efficient Hyperspectral Imaging Using Fully Heterogeneous Networks of Workstations, IEEE International Conference on Distributed Computing Systems (ICDCS), Lisbon, Portugal, 2006 (pdf).

67. A. Plaza, D. Valencia and J. Plaza. High-Performance Computing in Remotely Sensed Hyperspectral Imaging: The Pixel Purity Index Algorithm as a Case Study. 7th Workshop on Parallel and Distributed Scientific and Egineering Computing (PDSEC), Rhodes Island, Greece, 2006 (pdf).

68. J. Setoain, C. Tenllado, M. Prieto, D. Valencia, A. Plaza and J. Plaza. Parallel Hyperspectral Image Processing on Commodity Grahics Hardware. International Conference on Parallel Processing (ICPP'2006). 8th Workshop on High Performance Scientific and Engineering Computing (HPSEC), Columbus, OH, 2006 (pdf).

69. J. Plaza, R. Perez, A. Plaza, P. Martinez and D. Valencia. Parallel Morphological/Neural Classification of Remote Sensing Images Using Fully Heterogeneous and Homogeneous Commodity Clusters. IEEE International Conference on Cluster Computing (Cluster'2006), Barcelona, Spain, 2006 (pdf).

70. A. Plaza, J. Plaza and D. Valencia. AMEEPAR: Parallel Morphological Algorithm for Hyperspectral Image Classification in Heterogeneous Networks of Workstations. Lecture Notes in Computer Science, vol. 3391, pp. 888-891, ICCS 2006 (pdf).

71. A. Plaza, C.-I Chang, J. Plaza and D. Valencia. Commodity Cluster and Hardware-Based Massively Parallel Implementations of Hyperspectral Image Analysis Algorithms. SPIE Defense and Security Symposium, Orlando, USA, 2006 (pdf).

72. A. Plaza, D. Valencia, J. Plaza, J. Sanchez-Testal, S. Muñoz and S. Blazquez. Parallel Implementation of Hyperspectral Image Analysis Algorithms, IEEE International Geoscience and Remote Sensing Symposium (IGARSS'06), Denver, CO, 2006 (pdf).

73. J. Amoros, L. Gomez-Chova, A. Plaza, J. Plaza and J. Calpe. Sub-pixel Cloud Masking in Remotely Sensed Hyperspectral Imagery Using Linear and Nonlinear Spectral Mixture Analysis. Second International Workshop on Recent Advances in Quantitative Remote Sensing (RAQS), Valencia, Spain, 2006 (pdf).

74. P. Martinez, R. M. Perez, J. J. Merino, D. Valencia, A. Plaza and J. Plaza. New Spatial/Spectral Multitemporal Endmember Extraction Algorithms. ESA-EUSC Image Information Mining Workshop, Madrid, Spain, 2006 (pdf).

75. P. Martinez, J. Merino, D. Valencia, R.M. Perez, A. Plaza and J. Plaza. Parallel Computation of Forest Fires Using CHRIS Images. 4th CHRIS Proba Workshop, ESA-ESRIN, Frascati, Italy, 2006 (pdf).

76. D. Valencia, A. Plaza, R.M. Perez, C. Cantero, P. Martinez and J. Plaza. Parallel Endmember Extraction Techniques Applied to a Self-Organizing Neural Network for Hyperspectral Image Classification. Parallel Computing (ParCo), Malaga, Spain, 2005 (pdf).

77. D. Valencia, A. Plaza, P. Martinez and J. Plaza. On the Use of Cluster Computing Architectures for Implementation of Hyperspectral Analysis Algorithms. Proceedings of the 10th IEEE Symposium on Computers and Communications (ISCC), pp. 995-1000, Cartagena, Spain, 2005 (pdf).

78. P. Martínez, D. Hermosel, R. O. Green, J. Plaza and R. M. Pérez. An Improved Data Structure for AVIRIS-Type Imaging Spectrometer Measurements. 13th JPL Airbone Earth Science Workshop, Pasadena, California, EEUU, 2005.

79. D. Valencia, P. Martínez, J. Plaza, R. Pérez, M. C. Cantero and R. Paniagua. Pre-Evaluation of Wild Fires in Monfragüe Regional Park Using Chris Imagery. 3rd European Space Agency Chris/Proba Workshop, Frascati, Italy, 2005.

80. M. C. Cantero, P. Martínez, R. Pérez, J. Paniagua, L. M. del Río, E. Cerrillo, D. Valencia, R. Paniagua, J. Plaza and A. Bejarano. Archaeological Sites Studies Based on Neural Computation Techniques. 3rd European Space Agency Chris/Proba Workshop, Frascati, Italy, 2005.

81. A. Plaza, J. Sanchez-Testal, J. Plaza and D. Valencia. An Experimental Evaluation of Endmember Generation Algorithms. Optics East 2005, III Conference on Chemical and Biological Standoff Detection, Boston, USA, 2005 (pdf).

82. J. Plaza, R. Perez, A. Plaza, P. Martinez and D. Valencia, Mapping Oil Spills on Sea Water Using Spectral Mixture Analysis of Hyperspectral Image Data. Optics East 2005, III Conference on Chemical and Biological Standoff Detection, Boston, USA, 2005 (pdf).

83. A. Plaza, J. Plaza, D. Valencia and P. Martinez, Efficient Information Extraction from Hyperspectral Imagery Using Heterogeneous Networks of Workstations. IEEE International Geoscience and Remote Sensing Symposium 2005, Seoul, South Korea, 2005 (pdf).

84. J. Plaza, A. Plaza, R.M. Perez and P. Martinez, Automated Generation of Semi-labeled Training Samples for Nonlinear Neural Network-Based Abundance Estimation in Hyperspectral Data. IEEE International Geoscience and Remote Sensing Symposium 2005, Seoul, South Korea, 2005 (pdf).

85. A. Plaza, P. Martinez, D. Valencia, I. Garcia and J.Plaza. On the Use of Parallel Computing to Process Multichannel Imagery via Extended Morphological Operations. Jornadas de Paralelismo. Granada, Spain, 2005 (pdf).

86. J. Plaza, C.-I Chang, P. Martinez, R.M. Perez and A. Plaza. On the Generation of Training Samples for Neural Network-Based Mixed Pixel Classification. SPIE Symposium on Defense and Security, XI Conference on Algorithms and Technologies for Multispectral, Hyperspectral and Ultraspectral Imagery. Orlando, FL, USA, 2005 (pdf).

87. J. Plaza, P. Martinez, A. Plaza and R.M. Perez, Nonlinear Neural Network-based Mixture Model for Estimating the Concentration of Nitrogen Salts in Turbid Inland Waters Using Hyperspectral Imagery. Proceedings of SPIE, Chemical and Biological Standoff Detection II, vol. 5584, pp. 165-173, 2004 (pdf).

88. M.C. Cantero, R.M. Perez, P. Martinez, P.L. Aguilar, J. Plaza and A. Plaza, Analysis of the Behaviour of a Neural Network Model in the Identification and Quantification of Hyperspectral Signatures Applied to the Determination of Water Quality. Proceedings of SPIE, Chemical and Biological Standoff Detection II, vol. 5584, pp. 174-185, 2004 (pdf).

89. A. Plaza, D. Valencia, P. Martinez and J. Plaza. Parallel Implementation of Algorithms for Endmember Extraction from AVIRIS Hyperspectral Imagery. XIII NASA/Jet Propulsion Laboratory Airborne Earth Science Workshop. Pasadena, CA, USA, 2004 (pdf).

90. J. Plaza, P. Martinez, R.M. Perez and A. Plaza. Nonlinear Neural Network Mixture Models for Fractional Abundance Estimation in AVIRIS Hyperspectral Images. XIII NASA/Jet Propulsion Laboratory Airborne Earth Science Workshop. Pasadena, CA, USA, 2004 (pdf).

91. A. Plaza, P. Martinez, R.M. Perez and J. Plaza. Hyperspectral Image Analysis by Scale-orientation Morphological Profiles. Proceedings of SPIE, Image and Signal Processing for Remote Sensing IX, vol. 5238, pp. 432-439, 2004 (pdf).

92. J. Plaza, A. Plaza, P. Martinez, R.M. Perez. Nonlinear Mixture Models for Analyzing Laboratory Simulated-Forest Hyperspectral Data. Proceedings of SPIE, Image and Signal Processing for Remote Sensing IX, vol. 5238, pp. 480-487, 2004 (pdf).

93. A. Plaza, P. Martinez, J. Plaza and R.M. Perez. Spatial/Spectral Analysis of Hyperspectral Image Data. IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data. An Honorary Workshop for Prof. David A. Landgrebe. NASA/Goddard Space Flight Center, Greenbelt, Maryland, USA, 2003 (pdf).

94. A. Plaza, P. Martinez, J. Plaza and R.M. Perez. Parallel Implementation of Algorithms for Standoff Detection in Hyperspectral Imagery. Proceedings of SPIE, Chemical and Biological Standoff Detection I, 2003 (pdf).

95. A. Plaza, P. Martinez, R.M. Perez and J. Plaza. A New Method for Target Detection in Hyperspectral Imagery Based on Extended Morphological Profiles. IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003 (pdf).

96. J. Plaza, A. Plaza, P.Martinez and R.M. Perez. H-COMP: A Tool for Quantitative and Comparative Analysis of Endmember Identification Algorithms. IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003 (pdf).

97. J. Plaza, P. Martinez, A. Plaza and R.M. Perez, Quantifying the Impact of Spatial Resolution on Endmember Extraction from Hyperspectral Imagery. Proceedings Third EARSeL Workshop on Imaging Spectroscopy, Herrsching, Germany, pp. 117-125, 2003 (pdf).

98. P. Martinez, J. Plaza, M.C. Cantero, A. Plaza, R.M. Perez, A. Atkinson and J. Ballel, Test Image to Validate Endmember Extraction and Hyperspectral Unmixing Algorithms. Proceedings Third EARSeL Workshop on Imaging Spectroscopy, Herrsching, Germany, pp. 106-114, 2003.

99. A. Plaza, P. Martinez, R.M. Perez and J. Plaza. A Comparative Analysis of Endmember Extraction Algorithms Using AVIRIS Hyperspectral Data. XI NASA/Jet Propulsion Laboratory Airborne Earth Science Workshop. Pasadena, CA, USA, 2002 (pdf).

1. J. A. Gallardo, M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Nueva implementación paralela en GPUs del algoritmo pLSA para desmezclado de imágenes hiperespectrales. Jornadas SARTECO, Cáceres, Spain, 2019.

2. M. Blanco, M. E. Paoletti, J. M. Haut, J. Plaza and A. Plaza. Una nueva plataforma social para el procesamiento de imágenes hiperespectrales de manera masiva. Jornadas SARTECO, Cáceres, Spain, 2019.

3. S. Moreno, M. Paoletti, J. M. Haut, J. A. Rico, J. Plaza and J. C. Díaz. Evaluación de Rendmiento del Entrenamiento Distribuido de Redes Neuronales Profundas en Plataformas Heterogéneas. Jornadas de Paralelismo, Cáceres, Spain, 2019.

4. A. Maffei, M. E. Paoletti, J. M. Haut, J. Plaza, L. Bruzzone y A. Plaza. Una única arquitectura neuronal profunda para eliminar ruido en imágenes hiperespectrales. Jornadas SARTECO, Cáceres, Spain, 2019.

5. Delgado, L. I. Jimenez, G. Martin, S. Sanchez, J. Plaza and A. Plaza. Nueva implementación paralela en GPUs para la extracción de firmas espctrales puras con información espacial y espectral. Jornadas SARTECO, Congreso Español de Informática (CEDI'2016), Salamanca, Spain, 2016.

6. J. M. Haut, M. Paoletti, J. Plaza and A. Plaza. Evaluación de rendimiento de una implementación Cloud para un clasificador neuronal aplicado a imágenes hiperespectrales. Jornadas SARTECO Congreso Español de Informática (CEDI'2016), Salamanca, Spain, 2016.

7. A. Cristo, P. Martínez, D. Valencia, L. M. Hernández, R. M. Pérez, A. Plaza, J. Plaza y P. Aguilar. Análisis del Funcionamiento de la Matriz Difusa para el Tratamiento de Imágenes Hiperespectrales. Semana Geomática Internacional. Barcelona, Spain, 2009.

8. A. Astillero, J.L Bravo, H. Cwierz, I. Gómez, E. Hernández, R. Martínez, V. Masero, J.C. Peguero, J. Plaza, M. Rico and D. Yañez. Experiencia Piloto de Adaptación del Segundo Curso de Ingeniería Técnica. II Jornadas Nacionales de Metodologías ECTS, Badajoz, Spain, 2007.

9. J. Setoain, C. Tenllado, M. Prieto, A. Plaza, D. Valencia, J. Plaza. Procesamiento paralelo de imágenes hiperespectrales utilizando unidades de procesamiento gráfico domésticas. Jornadas de Paralelismo, Albacete, Spain, 2006.

10. A. Plaza, P. Martinez, D. Valencia, I. Garcia and J.Plaza. On the Use of Parallel Computing to Process Multichannel Imagery via Extended Morphological Operations. Jornadas de Paralelismo. Granada, Spain, 2005.

11. J. Plaza, A. Plaza, P. Martinez, R.M. Perez, M.C. Cantero, H-COMP: Una herramienta para la comparación de algoritmos de extracción de endmembers. Congreso Nacional de Teledetección. Cáceres, Spain, 2003.

12. A. Plaza, P. Martinez, J. Plaza R.M. Perez, P. L. Aguilar y M.C. Cantero, Algoritmos de Extracción de Endmembers en Imágenes Hiperespectrales. Congreso Nacional de Teledetección. Cáceres, Spain, 2003.

13. M.C. Cantero, R. M. Pérez, J. Plaza, E. Cerrillo y A. Bejarano. Técnicas Neuronales para la Detección Remota de Restos Arqueológicos. Congreso Nacional de Teledetección. Cáceres, Spain, 2003.

14. R.M. Perez, A. Plaza, P. Martinez, J. Plaza, P.L. Aguilar, Arrays de Sistólicos como Soporte al Análisis de Imágenes Hiperespectrales en Tiempo Real. Jornadas de Paralelismo. Lleida, Spain, 2002.

15. R.M. Perez, P. Martinez, P.L. Aguilar, A. Plaza, A. Sanchez, J. Plaza, Aplicación adaptativa basada en computación neuronal para ayuda a la comunicación con el ordenador de usuarios discapacitados. Congreso Virtual Derecho y Discapacidad en el Nuevo Milenio. Badajoz, Spain, 2002.

1. "Desarrollo de técnicas de APRendizaje profundo para la optimización de la Infraestructura de Supercomputación y de Aplicaciones de imagen hiperespectral (APRISA)". Ministerio de Ciencia y Tecnología.

2. "Tools for Mapping Human Exposure to Risky Environmental Conditions by Means of Ground and Earth Observation Data (EOXPOSURE)". European Comission, Marie Skłodowska-Curie Research and Innovation Staff Exchange.

3. "Tools for Open Multi-Risk Assesment Using Earth Obsrevation Data (TOLOMEO)". European Comission, International Research Stall Exchange Scheme (IRSES) (FP7).

4. "High Performance Computing on Complex Environments (Complex HPC)". European Comission, European Cooperation in Science and Technology (COST).

5. Hyperspectral Imaging Network (HYPER-I-NET)". European Comission, Marie Curie Research Training Networks (FP6).

6. "Implementación y Gestión Avanzada de Datos en un Nuevo Sistema de Calibración de Satélites de Observación Remota de la Tierra en España". Ministerio de Ciencia y Tecnología.

7. "Procesamiento Eficiente de Datos Hiperespectrales Utilizando Arquitecturas de Computación Paralela". Ministerio de Ciencia y Tecnología.

8. "CAPA-H: Red sobre computación de altas prestaciones sobre arquitecturas paralelas heterogéneas". Ministerio de Ciencia y Tecnología.

9. "Diseño de nuevos algoritmos hiperespectrales". Ministerio de Ciencia y Tecnología.

10. "Optimización de nuevos sensores aerotransportados para perfeccionar la captación y el procesado de señales hiperespectrales no lineales". Ministerio de Ciencia y Tecnología.

11. "Archaeological Exploration Using CHRIS/Proba Imagery". European Space Agency.

12. "Pre-Evaluation of Wild Fires Risk in Extremadura". European Space Agency.

13. "Using Hyperspectral Algorithms for Change Detection in Remote Sensing Images". European Space Agency.

14. "Computación de Altas Prestaciones Aplicada al Análisis de Datos Hiperespectrales". Junta Extremadura.

15. "Procesamiento Eficiente de Imágenes Hiperespectrales de la Superficie Terrestre Mediante Arquitecturas de Computación Paralelas". Junta Extremadura.

16. "Análisis hiperespectral aplicado al estudio de espacioas agrosilvopastorales". Junta Extremadura.

17. "Laboratorio para la Depuración y Prueba de Programas y Contenidos en Software Libre". Junta Extremadura.

18. "Taller para la Elaboración y el Mantenimiento de Software Libre en Linex". Junta Extremadura.

1. Computer Architecture (2014 - 2022).

2. Computer Technology (2014 - 2022).

3. Computer Structure (2005 - Today).

4. Computer Organization (2006 - 2011).

5. Computer Fundamentals (2003 - 2005).

6. Operating Systems (2003 - 2005, 2010 - 2014).

7. Distributed and Real Time Systems (2014 - 2016)

8. Introduction to Technological Research (2021 - 2022).

9. Scientific Communication and Documentation Technologies (2021 - 2022).

10. Introduction to Research on Parallel Architectures for Image Processing (2009 - 2014).

11. Digital Signal Processing (2006 - 2007).

12. User Interfaces (2003 - 2005).

13. Linux Administration (2009 - 2010).

14. Basic Computing (2009 - 2011).

15. Linux (2009 - 2011).

16. Planning, specification , design and evaluation of networks (2005 - 2006).

17. Broadband Communications (2006 - 2007).

18. Foundations of Telematics (2006 - 2007).

19. Local Area Networks (2006 - 2007).

20. Heterogeneous Computing (2009 - 2014).

21. Heterogeneous Computing (2009 - 2014).