Publication & Code
Journal Papers:
1. Nanjun He, Leyuan Fang, Shutao Li, Javier Plaza, and Antonio Plaza, Skip-Connected Covariance Network for Remote Sensing Scene Classification, IEEE Transactions on Neural Networks and Learning Systems, In Press, 2020. [code]
2. Jie Xie, Nanjun He, Leyuan Fang, and Pedram Ghamisi, Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification, IEEE Transactions on Circuits and Systems for Video Technology, In Press, 2020.
3. Nanjun He, Leyuan Fang, and Antonio Plaza, Hybrid First and Second Order Attention Network for Building Segmentation in Remote Sensing Images, SCIENCE CHINA Information Sciences, In Press, 2020.
4. Jianjun Lei, Xiaowei Luo, Leyuan Fang, and Yanfeng Gu, Region-Enhanced Convolutional Neural Network for Object Detection in Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, In Press, 2020.
5. Renwei Dian, Shutao Li, Leyuan Fang, Ting Lu, and José Bioucas-Dias, Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion, IEEE Transactions on Cybernetics, In Press, 2020.
6. Zhihong Huang, Shutao Li, and Leyuan Fang, Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection, IEEE Transactions on Geoscience and Remote Sensing, In Press, 2020.
7. Zhimin Shao, Zexin Lu, Maosong Ran, Leyuan Fang, Jiliu Zhou, and Yi Zhang, Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening, IEEE Geoscience and Remote Sensing Letters, In Press, 2020.
8. Yun Lin, Shutao Li, Leyuan Fang, and Pedram Ghamisi, Multispectral Change Detection With Bilinear Convolutional Neural Networks, IEEE Geoscience and Remote Sensing Letters, In Press, 2020.
9. Leyuan Fang, Wenke Zhao, Nanjun He, and Jian Zhu, Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, In Press, 2020.
10. Yan Cao, Leyuan Fang, Nanjun He, and Ting Lu, Self-attention Based Deep Feature Fusion for Remote Sensing Scene Classification, IEEE Geoscience and Remote Sensing Letters, In Press, 2020.
11. Xinxin He, Leyuan Fang, and Xiangdong Chen, Retinal Optical Coherence Tomography Image Classification with Label Smoothing Generative Adversarial Network, Neurocomputing, In Press, 2020.
12. Yue Wu, Shutao Li, and Leyuan Fang, Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising, IEEE Transactions on Image Processing, 2019, 28(6), 2719-2730.
13. Laifeng Huang, Xinxin He, Leyuan Fang, Hossein Rabbani, and Xiangdong Chen, Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network, IEEE Signal Processing Letters, 2019, 26(7): 1026-1030.
14. Yongqiang Huang, Zexin Lu, Zhimin Shao, Maosong Ran, Jiliu Zhou, Leyuan Fang, and Yi Zhang, Simultaneous Denoising and Super-Resolution of Optical Coherence Tomography Images Based on Generative Adversarial Network, Optics Express, 2019, 27(9): 12289-12307.
15. Jie Xie, Nanjun He, Leyuan Fang, and Antonio Plaza, Scale-free Convolutional Neural Network for Remote Sensing Scene Classification, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 6916-6928. [code]
16. Leyuan Fang, Guangyun Liu, and Shutao Li, Hyperspectral Image Classification with Squeeze Multi-Bias Network, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(3): 1291-1301. (Highly Cited Paper in Essential Science Indicators Database)
17. Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, and Jón Atli Benediktsson, Deep Learning for Hyperspectral Image Classification: An overview, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(9): 6690-6709.
18. Shutao Li, Renwei Dian, Leyuan Fang, and José M. Bioucas-Dias, Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization, IEEE Transactions on Image Processing, 2019, 27(8): 4118-4130.
19. Nanjun He, Leyuan Fang, Shutao Li, Antonio Plaza, and Javiar Plaza, Feature Extraction with Multiscale Covariance Maps for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(2): 755-769. (ESI Highly Cited Paper and Hot paper in Essential Science Indicators Database) [code]
20. Leyuan Fang, Chong Wang, Shutao Li, Hossein Rabbani, Xiangdong Chen, and Zhimin Liu, Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification, IEEE Transactions on Medical Imaging, 2019, 38(8): 1959-1970. [code]
21. Mokhtari Marzieh, Rabbania Hossein, Mehri-Dehnavia Alireza, Kafieha Raheleh, Akhlaghib Mohammad-Reza, Pourazizib Mohsen, and Leyuan Fang, Local comparison of cup to disc ratio in right and left eyes based on fusion of color fundus images and OCT B-scans, Information Fusion, 2019, 51(1): 30-41.
22. Renwei Dian, Shutao Li, Leyuan Fang, and Wei Qi, Multispectral and Hyperspectral Image Fusion with Spatial-Spectral Sparse Representation, Information Fusion, 2019, 49(3): 262-270.
23. Renwei Dian, Shutao Li, and Leyuan Fang, Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution, IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(9): 2672-2683.
24. Ting Xie, Shutao Li, Leyuan Fang, and Licheng Liu, Tensor Completion via Nonlocal Low-Rank Regularization, IEEE Transactions on Cybernetics, 2019, 46(6), 2344-2354.
25. Guangzhe Zhao, Guangyun Liu, Leyuan Fang, Bing Tu, and Ghamisi Pedram, Multiple Convolutional Layers Fusion Framework for Hyperspectral Image Classification, Neurocomputing, 2019, 28(6): 149-160.
26. Bing Tu, Nanying Li, Leyuan Fang, Yang Xianchang, and Jianhui Wu, Hyperspectral Image Classification with a Class-Dependent Spatial-Spectral Mixed Metric, Pattern Recognition Letters, 2019, 15(3), 16-22.
27. Bing Tu, Nanying Li, Leyuan Fang, Danbing He, and Ghamisi Pedram, Hyperspectral Image Classification with Multi-scale Feature Extraction, Remote Sensing, 2019, 11(5): 534-551.
28. Leyuan Fang, Zhiliang Liu, and Weiwei Song, Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction, IEEE Geoscience and Remote Sensing Letters, 2019, 16(9): 1412-1416. [code]
29. Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, and Yi Zhang, Three-dimensional Optical Coherence Tomography Image Denoising through Multi-input Fully-Convolutional Networks, Computers in Biology and Medicine, 2019, 108(8), 1-8.
30. Leyuan Fang, Yuxuan Jin, Laifeng Huang, Siyu Guo, and Xiangdong Chen, Iterative Fusion Convolutional Neural Networks for Classification of Optical Coherence Tomography Images, Journal of Visual Communication and Image Representation, 2019, 59: 327-333.
31. Weiwei Song, Shutao Li, and Leyuan Fang, Hyperspectral Images Classification with Deep Feature Fusion Network, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(6): 3173-3184.(Hot Paper and Highly Cited Paper in Essential Science Indicators Database) [code]
32. Renwei Dian, Shutao Li, Leyuan Fang, Deep Hyperspectral Image Sharpening, IEEE Transactions on Neural Networks and Learning System, 2018, 29(11): 5345-5355.
33. Leyuan Fang, Nanjun He, Shutao Li, and Jón Benediktsson, Extinction Profiles Fusion for Hyperspectral Images Classification, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(3): 1803-1815. (Highly Cited Paper in Essential Science Indicators Database) [code]
34. Leyuan Fang, Nanjun He, Shutao Li, Antonio Plaza, and Javiar Plaza, A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(6): 3534-3546. (Highly Cited Paper in Essential Science Indicators Database) [code]
35. Ghamisi Pedram, Maggiori Emmanuel, Shutao Li, Souza Roberto, Tarabalka Yuliya, Moser Gabriele, De Giorgi Andrea, Leyuan Fang, Chen Yushi, Chi Mingmin, Serpico Sebastiano B, Benediktsson Jon Atli, New Frontiers in Spectral-Spatial Hyperspectral Image Classification The latest advances based on mathematical morphology, Markov random fields, segmentation, sparse representation, and deep learning, IEEE Geoscience and Remote Sensing Magazine, 2018, 6(3): 10-43. (Hot Paper and Highly Cited Paper in Essential Science Indicators Database)
36. Nanjun He, Leyuan Fang, Shutao Li, Antonio Plaza, and Javiar Plaza, Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(12): 6899-6910. [code]
37. A. Abbasi, A. Monadjemi, Leyuan Fang, and Hossein Rabbani, Optical Coherence Tomography Retinal Image Reconstruction via Nonlocal Weighted Sparse Representation, Journal of Biomedical Optics, 2018, 23(3): 036011.
38. Arjun D. Desai, Chunlei Peng, Leyuan Fang, Dibyendu Mukherjee, Andrew Yeung, Stephanie J. Jaffe, Jennifer B. Griffin, and Sina Farsiu, Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging, Biomedical Optics Express, 2018, 9(12): 6038-6052.
39. Bing Tu, Nanying Li, Leyuan Fang, Fei Hongyan, He Danbing, Classification of Hyperspectral Images via Weighted Spatial Correlation Representation, Journal of Visual Communication and Image Representation, 2018, 56(3): 160~166.
40. Bing Tu, Huang Siyuan, Leyuan Fang, Zhang Guoyun, Wang Jinping, Zheng Binxin, Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(11): 4063-4075.
41. Leyuan Fang, Chong Wang, Shutao Li, Yun Yan, Xiangdong Chen, and Hossein Rabbani, Automatic Classification of Retinal Three-Dimensional Optical Coherence Tomography Images Using Principal Component Analysis Network with Composite Kernels, Journal of Biomedical Optics, 2018, 22(11): 1-8.
42. Jian Zhu, Leyuan Fang, and Pedram Ghamisi, Deformable Convolutional Neural Networks for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, 2018, 15(8): 1254-1258. (Highly Cited Paper in Essential Science Indicators Database) [code]
43. Jessica Loo, Leyuan Fang, David Cunefare, Glenn J. Jaffe, Sina Farsiu, Deep Learning-Based Automatic Segmentation of Ellipsoid Zone Defects in Optical Coherence Tomography Images of Macular Telangiectasia Type 2, Investigative Ophthalmology & Visual Science, 2018, 59(9): 1225-1227.
44. Jessica Loo, Leyuan Fang, David Cunefare, Geffine J. Jaffe, Sina Farsiu, Deep Longitudinal Transfer Learning-Based Automatic Segmentation of Photoreceptor Ellipsoid Zone Defects on Optical Coherence Tomography Images of Macular Telangiectasia Type 2, Biomedical Optics Express, 2018, 9(6): 2681-2698.
45. Wei Fu, Shutao Li, Leyuan Fang, Jón Benediktsson, Contextual Online Dictionary Learning for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(3): 1336-1347.
46. Zhihong Huang，Shutao Li，Leyuan Fang，Huali Li，and Jón Benediktsson, Hyperspectral Image Denoising with Group Sparse and Low-rank Tensor Decomposition, IEEE Access, 2018, 6(1):1380-1390.
47. Leyuan Fang, Haijie Zhuo, and Shutao Li, Super-resolution of hyperspectral image via superpixel-based sparse representation, Neurocomputing, 2018, 73(2): 171-177. (Highly Cited Paper in Essential Science Indicators Database)
48. Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang, and Jón Benediktsson, Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation, IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(2): 671-682.
49. Leyuan Fang, Cheng Wang, Shutao Li, and Jón Benediktsson, Hyperspectral image classification via multiple-feature based adaptive sparse representation, IEEE Transactions on Instrumentation and Measurement, 2017, 66(7): 1646-1657. (Highly Cited Paper in Essential Science Indicators Database)
50. Shutao Li, Xudong Kang, and Leyuan Fang, Jianwen Hu, Haitao Yin, Pixel-level Image Fusion: A Survey of the State of the Art, Information Fusion, 2017, 33(1): 100-112,. (Highly Cited Paper in Essential Science Indicators Database)
51. Leyuan Fang, David Cunefare, Chong Wang, Robyn H. Guymer, Shutao Li, and Sina Farsiu, Automatic Segmentation of Nine Retinal Layer Boundaries in Optical Coherence Tomography Images Using Deep Learning and Graph Search, Biomedical Optics Express, 2017, 8(5): 2732-2744. (Highly Cited Paper and Hot paper in Essential Science Indicators Database)
52. Deep Learning and Graph Search, Biomedical Optics Express, 2017, 8(5): 2732-2744. (Highly Cited Paper and Hot paper in Essential Science Indicators Database)
53. Leyuan Fang, Shutao Li, Davia Cunefare, and Sina Farsiu, Segmentation based Sparse Reconstruction of Optical Coherence Tomography Images, IEEE Transactions on Medical Imaging, 2017, 36(2): 407-421. (Highly Cited Paper in Essential Science Indicators Database)
54. Leyuan Fang, Shutao Li, Wuhui Duan, Jinchang Ren, and Jón Benediktsson, Classification of Hyperspectral Images by Exploiting Spectral-Spatial Information of Superpixel via Multiple Kernels, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(12): 6663-6674. (Highly Cited Paper in Essential Science Indicators Database) [code]
55. Leyuan Fang, Shutao Li, Xudong Kang, and Jón Benediktsson, Spectral-Spatial Classification of Hyperspectral Images with a Superpixel Based Discriminative Sparse Model, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8): 4186-4201. (Highly Cited Paper in Essential Science Indicators Database)
56. Leyuan Fang, Shutao Li, Xudong Kang, and Jón Benediktsson, Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation, IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(12): 7738-7749. (Highly Cited Paper in Essential Science Indicators Database) [code]
57. Leyuan Fang, Shutao Li, Qing Nie, Cynthia Toth, Joseph Izatt, and Sina Farsiu, Sparsity Based Denoising of Spectral Domain Optical Coherence Tomography Images, Biomedical Optics Express, 2012, 3(5):927-942. (selected as the ‘Feature of the week’ in OCTNews http://www.octnews.org)
Conference Papers
1. Nanjun He, Leyuan Fang, Yi Li, and Antonio Plaza, High-Order Self-Attention Network for Remote Sensing Scene Classification, IEEE International Geoscience and Remote Sensing Symposium, 2019, pp. 3013-3016.
2. Weiwei Song, Leyuan Fang, Shutao Li, Similarity-Preserving Deep Features for Hyperspectral Image Classification, IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 3595-3598.
3. Ting Xie, Shutao Li, Leyuan Fang and Liu Licheng, A Novel Nonconvex Sparsity Measure for Hyperspectral Images Restoration, IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 2729-2732.
4. Nanjun He, Leyuan Fang, Shutao Li, and Antonio J. Plaza, Covariance Matrix based Feature Fusion for Scene Classification, IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 3587-3590. [code]
5. Zhihong Huang, Shutao Li, Leyuan Fang, Fusing Information from Subpixel to Superpixel for Hyperspectral Anomaly Detection, IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 1260-1263.
6. Renwei Dian, Shutao Li, Leyuan Fang, and José Bioucas-Dias, Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations, IEEE International Geoscience and Remote Sensing Symposium, 2018, pp. 4003-4006.
7. Renwei Dian, Leyuan Fang, and Shutao Li, Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization, IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 21-26.
8. Najun He, Leyuan Fang, Shutao Li, Pedram Ghamisi, and Jon Benediktsson, Hyperspectral Images Classification by Fusing Extinction Profiles Feature, IEEE International Geoscience and Remote Sensing Symposium, 2017, pp. 3976-2979.
9. Wei Fu, Shutao Li, Leyuan Fang, Jón Benediktsson, Spectral-Spatial Online Dictionary Learning for Hyperspectral Image Classification，IEEE International Geoscience and Remote Sensing Symposium, 2017, pp. 3724-3727.
10. Ting Lu, Shutao Li, and Leyuan Fang, Decision Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classifiers, IEEE International Geoscience and Remote Sensing Symposium, 2016, pp. 1524-1527.
11. Renwei Dian, Shutao Li, and Leyuan Fang, Non-local Sparse Representation for Hyperspectral Image Super-Resolution, IEEE Conference on Image Processing, 2016, pp. 2832-2835.
12. Wei Fu, Shutao Li, and Leyuan Fang, Spectral-Spatial Hyperspectral Image Classification via Superpixel Merging and Sparse Representation, IEEE International Geoscience and Remote Sensing Symposium, 2015, pp. 4971-4974.
13. Wuhui Duan, Shutao Li, Leyuan Fang, Superpixel-Based Composite Kernel for Hyperspectral Image Classification, IEEE International Geoscience and Remote Sensing Symposium, 2015, pp.1698-1701.
14. Xudong Kang, Shutao Li, and Leyuan Fang, and Jón Benediktsson, High Resolution Visible Image Completion of Urban Region Using Corresponding Hyperspectral Image, IEEE International Geoscience and Remote Sensing Symposium, 2015, pp. 1155-1158.
15. Wei Fu, Shutao Li, and Leyuan Fang, Xudong Kang, and Jón Benediktsson, Spectral-Spatial Hyperspectral Classification via Shape-Adaptive Sparse Representation, IEEE International Geoscience and Remote Sensing Symposium, 2014, pp. 3430-3433.
16. Qing Nie, Leyuan Fang, Huiqi Li, and Fei Gao, Graph based Optic Nerve head Segmentation，IEEE Conference on Industrial Electronics and Applications, 2014, pp. 1010-1015.
17. Wuhui Duan, Shutao Li, and Leyuan Fang, Spectral-Spatial Hyperspectral Image Classification Using Superpixel and Extreme Learning Machines, Chinese Conference on Pattern Recognition, 2014, pp. 159-167.
18. Dan Liu, Shutao Li, and Leyuan Fang, Hyperspectral Image Classification by Exploiting the Spectral-Spatial Correlations in the Sparse Coefficients，Chinese Conference on Pattern Recognition, 2014, pp. 151-158.
19. Juan Yang and Leyuan Fang, Fuzzy Connectedness Road Extraction from High Resolution Remote Sensing Image based on GMM-MRF, Chinese Automation Congress, 2013, pp. 502-507.
20. Leyuan Fang, Shutao Li, and Jianwen Hu, Multitemporal Image Change Detection with Compressed Sparse Representation, IEEE Conference on Image Processing, 2011, pp. 2673-2676.
21. Shutao Li and Leyuan Fang, An Efficient Learned Dictionary and its Application to Non-Local Denoising, IEEE Conference on Image Processing, 2010, pp. 1945-1948.
22. Leyuan Fang and Shutao Li, An Efficient Dictionary Learning Algorithm for Sparse Representation, Chinese Conference on Pattern Recognition, 2010, pp. 489-493.
Book Chapter
1. Leyuan Fang and Shutao Li, Reconstruction of Retinal OCT Images with Sparse Representation, Retinal Optical Coherence Tomography Image Analysis, Springer, Singapore, 2019, 73-103.