INTERNATIONAL
- S. De, L. Bruzzone, A. Bhattacharya, F. Bovolo, S. Chaudhuri, “A Novel Technique Based on Deep Learning and a Synthetic Target Database for Classification of Urban Areas in PolSAR Data,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 1, pp. 154-170. DOI: 10.1109/JSTARS.2017.2752282.
- S. Liu, Q. Du, X. Tong, A. Samat, L. Bruzzone, F. Bovolo, “Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 9, pp. 4124 – 4137, 2017. DOI: 10.1109/JSTARS.2017.2712119.
- Y. Han, F. Bovolo, W. Lee, “Automatic cloud-free image generation from high-resolution multi-temporal imagery,” SPIE Journal of Applied Remote Sensing, , Vol. 11, No. 2, 2017. DOI: 10.1117/1.JRS.11.025005.
- A. Harikumar, F. Bovolo, L. Bruzzone, "An Internal Crown Geometric Model for Conifer Species Classification with High Density LiDAR Data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, pp. 1-17, 2017. DOI: 10.1109/TGRS.2017.2656152
- Y. Han, F. Bovolo, L. Bruzzone, "Segmentation-based Fine Registration of Very High Resolution Multitemporal Images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 5, pp. 2884 - 2897, 2017. DOI: 10.1109/TGRS.2017.2655941
- F. Di Paolo, S.E. Lauro, D. Castelletti, G. Mitri, F. Bovolo, B. Cosciotti, E. Mattei, R. Orosei, C. Notarnicola, L. Bruzzone, E. Pettinelli, "Radar signal penetration and horizons detection on Europa through numerical simulations," Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, pp. 118-129, 2017. DOI: 10.1109/JSTARS.2016.2544103.
- Y. Han, F. Bovolo, L. Bruzzone, "Edge-Based Registration Noise Identification for VHR Multisensor Images," IEEE Geoscience and Remote Sensing Letters, Vol. 13, pp. 1231 – 1235, 2016. DOI 10.1109/LGRS.2016.2577719.
- S. Liu, L. Bruzzone, F. Bovolo, P. Du, "Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, pp. 2733 – 2748, 2016. DOI 10.1109/TGRS.2015.2505183.
- M. Zanetti, F. Bovolo, L. Bruzzone, "Rayleigh-Rice mixture parameter estimation via EM algorithm with application to automatic change detection," IEEE Transactions on Image Processing, Vol. 24, No. 12, pp. 5004 - 5016, DOI 10.1109/TIP.2015.2474710.
- Y. Han, F. Bovolo, L. Bruzzone, "An Approach to Fine Co-registration between Very High Resolution Multispectral Images Based on Registration Noise Distribution," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, pp. 6650 – 6662, 2015. DOI 10.1109/TGRS.2015.2445632.
- F. Bovolo, L. Bruzzone, "The Time Variable in Data Fusion: A Change Detection Perspective," IEEE Geoscience and Remote Sensing Magazine, Vol. 3, No. 3, pp. 8-26, 2015. DOI 10.1109/MGRS.2015.2443494.
- S. Liu, L. Bruzzone, F. Bovolo, M. Zanetti, P. Du, "Sequential Spectral Change Vector Analysis for Change Detection in Multitemporal Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, pp. 4363 – 4378, 2015. DOI 10.1109/TGRS.2015.2396686.
- B. Banerjee, F. Bovolo, A. Bhattacharya, L. Bruzzone, S. Chaudhuri, B.K. Mohan, "A novel graph matching based approach for domain adaptation in classification of remote sensing image pair," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53 , pp. 4045 – 4062, 2015. DOI 10.1109/TGRS.2015.2389520.
- D. Capella Zanotta, L. Bruzzone, F. Bovolo, Y.E. Shimabukuro, "An Adaptive Semi-Supervised Approach to the Detection of User-Defined Recurrent Changes in Image Time Series," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, pp. 3707 - 3719, 2015. DOI 10.1109/TGRS.2014.2381645.
- C. Marin, L. Bruzzone, F. Bovolo, "Building change detection in Multitemporal very high resolution SAR images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, pp. 2664 – 2682, 2015. DOI 10.1109/TGRS.2014.2363548.
- B. Banerjee, F. Bovolo, A. Bhattacharya, L. Bruzzone, S. Chaudhuri, B.K. Mohan, "A new self-training based unsupervised satellite image classification technique using cluster ensemble strategy," IEEE Geoscience and Remote Sensing Letters, Vol. 12, pp. 741 - 745, 2015. DOI 10.1109/LGRS.2014.2360833.
- S. Liu, L. Bruzzone, F. Bovolo, P. Du, "Hierarchical unsupervised change detection in multitemporal hyperspectral images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, pp. 244 - 260, 2015. DOI 10.1109/TGRS.2014.2321277.
- V. Neagoe, R. Stoica, A. Ciurea, L. Bruzzone, F. Bovolo, "Concurrent Self-Organizing Maps for Supervised/Unsupervised Change Detection in Remote Sensing Images," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, pp. 3525 - 3533, 2014. DOI 10.1109/JSTARS.2014.2330808.
- B. Narayan Subudhi, F. Bovolo, A. Ghosh, L. Bruzzone, "Spatio-contextual Fuzzy Clustering with Markov Random Field Model for Change Detection in Remotely Sensed Images," Optics & Laser Technology, Vol. 57, pp. 284-292, 2014. DOI 1016/j.optlastec.2013.10.003.
- B. Demir, F. Bovolo, L. Bruzzone, "Classification of Image Time Series with Limited Training Data," IEEE Transactions on Image Processing, Vol. 22, pp. 3219 - 3233, 2013. DOI 10.1109/TIP.2013.2259838.
- F. Bovolo, L. Bruzzone, R.L. King, "Introduction to the special issue on analysis of multitemporal remote sensing data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, pp. 1867 - 1869, 2013. DOI 10.1109/TGRS.2013.2251802.
- F. Bovolo, C. Marin, L. Bruzzone, "A Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications," IEEE Transactions on Geoscience and Remote Sensing, Vol.51, pp.2042-2054,2013. DOI 10.1109/TGRS.2012.2223219.
- N. Falco, M. Dalla Mura, F. Bovolo, J.A. Benediktsson, L. Bruzzone, "Change Detection in VHR Images Based on Morphological Attribute Profiles," IEEE Geoscience and Remote Sensing Letters, Vol. 10, pp. 636-640, 2013. DOI 10.1109/LGRS.2012.2222340.
- L. Bruzzone, F. Bovolo, "A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images," Proceedings of the IEEE, Vol. 101, pp. 609-630, 2013. DOI 10.1109/JPROC.2012.2197169.
- B. Demir, F. Bovolo, L. Bruzzone, "Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach," IEEE Transactions on Geoscience and Remote Sensing, Vol.51, pp.300-312, 2013. DOI 10.1109/TGRS.2012.2195727.
- M. Volpi, D. Tuia, F. Bovolo, M. Kanevski, L. Bruzzone, "Supervised Change Detection in VHR Images Using Contextual Information and Support Vector Machines," International Journal of Applied Earth Observation and Geoinformation, Vol. 20, pp. 77-85, 2012. DOI 10.1016/j.jag.2011.10.013.
- K. Bahirat, F. Bovolo, L. Bruzzone, S. Chaudhuri, "A Novel Domain Adaptation Bayesian Classifier for Updating Land-Cover Maps with Class Differences in Source and Target Domains," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, pp. 2810-2826, 2012. DOI 10.1109/TGRS.2011.2174154.
- F. Bovolo, S. Marchesi, L. Bruzzone, "A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, pp. 2196-2212, 2011. DOI 10.1109/TGRS.2011.2171493.
- B. Demir, F. Bovolo, L. Bruzzone, "Detection of Land-Cover Transitions in Multitemporal Remote Sensing Images with Active Learning Based Compound Classification," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, pp. 1930-1941, 2011. DOI 10.1109/TGRS.2011.2168534.
- B. Murphy, M. Poesio, F. Bovolo, M. Dalponte, L. Bruzzone, H. Lakany, "EEG decoding of semantic category reveals distributed representations for single concepts," Brain and Language, Vol. 117, pp. 12-22, 2011. [online].
- F. Bovolo, L. Bruzzone, L. Carlin, "A Novel Technique for Sub-pixel Image Classification Based on Support Vector Machine," IEEE Transactions on Image Processing, Vol. 19, pp. 2983-2999, 2010.
- J. Muñoz-Marí, F. Bovolo, L. Gómez-Chova, L. Bruzzone, G. Camps-Valls, "Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, pp. 3188-3197, 2010.
- S. Marchesi, F. Bovolo, L Bruzzone, "A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images," IEEE Transactions on Image Processing, Vol. 19, pp. 1877-1889, 2010.
- F. Bovolo, G. Camps-Valls, L. Bruzzone, "A Support Vector Domain Method for Change Detection in Multitemporal Images," Pattern Recogntion Letters, Vol. 31, pp. 1148-1154, 2010.
- F. Bovolo, L. Bruzzone, L. Capobianco, S. Marchesi, F. Nencini, A. Garzellil, "Analysis of the Effects of Pansharpening in Change Detection on VHR Images," IEEE Geoscience and Remote Sensing Letters, Vol. 7, pp. 53-57, 2010.
- F. Bovolo, "A Multilevel Parcel-based Approach to Change Detection in Very High Resolution Multitemporal Images," IEEE Geoscience and Remote Sensing Letters, Vol. 6, pp. 33-37, 2009.
- F. Bovolo, L. Bruzzone, S. Marchesi, "Analiysis and Adaptive Estimation of the Registration Noise Distribution in Multitemporal VHR Images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, pp. 2658-2671,2009.
- M. Tyagi, F. Bovolo, A. K. Mehra, S. Chaudhuri, L. Bruzzone, "A Context-Sensitive Clustering Technique Based on Graph-Cut Initialization and Expectation-Maximization Algorithm," IEEE Geoscience and Remote Sensing Letters, Vol. 5, pp. 21-25, 2008.
- F. Bovolo, L. Bruzzone, M. Marconcini, "A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure," IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, pp. 2070-2082, 2008.
- M. Dalla Mura, J. A. Benedikttsson, F. Bovolo, L. Bruzzone, "An Unsupervised Technique Based on Morphological Filters for Change Detection in Very High Resolution Images," IEEE Geoscience and Remote Sensing Letters, Vol. 5, pp. 433-437, 2008.
- S. Inamdar, F. Bovolo, L. Bruzzone, S. Chauduri, " Multidimensional Probability Density Function Matching for Pre-processing of Multitemporal Remote Sensing Images," IEEE transactions on geoscience and remote sensing, Vol. 46, pp. 1243-1252, 2008.
- G. Nollo, M. Marconcini, L. Faes, F. Bovolo, F. Ravelli, L. Bruzzone , "An Automatic System for the Analysis of the Classification of Human Atrial Fibrillation Patterns from Intracardiac Electrograms," IEEE transactions on biomedical engineering, Vol. 55, pp. 2275-2285, 2008.
- S, Ghosh, L. Bruzzone, S, Patra, F, Bovolo, A. Ghosh , "A Context-Sensitive Technique for Unsupervised Change Detection based on Hopfield Type Neural Networks," IEEE transactions on geoscience and remote sensing, Vol. 45, pp. 778-789, 2007.
- F. Bovolo, L. Bruzzone, "A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami Damage Assessment," IEEE transactions on geoscience and remote sensing, Vol. 45, pp. 1658-1670, 2007.
- F. Bovolo, L. Bruzzone, "A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in Polar Domain," IEEE transactions on geoscience and remote sensing, Vol. 45, pp. 218-236, 2007.
- M. Dalponte, F. Bovolo, L. Bruzzone, "Automatic Selection of Frequency and Time Intervals for Classification of EEG Signals," Electronics Letters, Vol. 43, pp. 1406–1408, 2007.
- F. Bovolo, L. Bruzzone, "A Detail-Preserving Scale-Driven Approach to Unsupervised Change Detection in Multitemporal SAR Images," IEEE transactions on geoscience and remote sensing, Vol. 43, pp. 2963-2972, 2005.
NATIONAL
- L. Bruzzone, C. Marin, M. Santoni, F. Bovolo, A. Trenti, W. Beozzo, “Generazione Automatica E Analisi Di Dati E Statistiche Sulla Copertura Nevosa Mediante Immagini Multi Spettrali Telerilevate Mappe Neve del con Criopat,” Neve e Valanghe, Vol. 83, pp. 4-11, 2014.