| Deep learning for hyperspectral image classification: An overview S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6690-6709, 2019 | 1552 | 2019 |
| Pixel-level image fusion: A survey of the state of the art S Li, X Kang, L Fang, J Hu, H Yin Information Fusion 33, 100-112, 2017 | 1233 | 2017 |
| Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search L Fang, D Cunefare, C Wang, RH Guymer, S Li, S Farsiu Biomedical Optics Express 8 (5), 2732-2744, 2017 | 538 | 2017 |
| Hyperspectral image classification with deep feature fusion network W Song, S Li, L Fang, T Lu IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3173-3184, 2018 | 533 | 2018 |
| Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization S Li, R Dian, L Fang, JM Bioucas-Dias IEEE Transactions on Image Processing 27 (8), 4118-4130, 2018 | 494 | 2018 |
| Group-sparse representation with dictionary learning for medical image denoising and fusion S Li, H Yin, L Fang IEEE Transactions on Biomedical Engineering 59 (12), 3450-3459, 2012 | 427 | 2012 |
| Classification of hyperspectral images by exploiting spectral–spatial information of superpixel via multiple kernels L Fang, S Li, W Duan, J Ren, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 53 (12), 6663-6674, 2015 | 396 | 2015 |
| Deep hyperspectral image sharpening R Dian, S Li, A Guo, L Fang IEEE transactions on neural networks and learning systems 29 (11), 5345-5355, 2018 | 365 | 2018 |
| Learning a low tensor-train rank representation for hyperspectral image super-resolution R Dian, S Li, L Fang IEEE transactions on neural networks and learning systems 30 (9), 2672-2683, 2019 | 354 | 2019 |
| Remote sensing image fusion via sparse representations over learned dictionaries S Li, H Yin, L Fang IEEE Transactions on Geoscience and Remote Sensing 51 (9), 4779-4789, 2013 | 345 | 2013 |
| Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation L Fang, S Li, X Kang, JA Benediktsson Geoscience and Remote Sensing, IEEE Transactions on 52 (12), 7738-7749, 2014 | 343 | 2014 |
| New frontiers in spectral-spatial hyperspectral image classification: the latest advances based on mathematical morphology, Markov random fields, segmentation, sparse … P Ghamisi, E Maggiori, S Li, R Souza, Y Tarablaka, G Moser, A De Giorgi, ... IEEE Geoscience and Remote Sensing Magazine 6 (3), 10-43, 2018 | 338 | 2018 |
| Hyperspectral image super-resolution via non-local sparse tensor factorization R Dian, L Fang, S Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 303 | 2017 |
| Remote sensing scene classification using multilayer stacked covariance pooling N He, L Fang, S Li, A Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (12), 6899-6910, 2018 | 284 | 2018 |
| Spectral–spatial classification of hyperspectral images with a superpixel-based discriminative sparse model L Fang, S Li, X Kang, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 53 (8), 4186-4201, 2015 | 278 | 2015 |
| Sparsity based denoising of spectral domain optical coherence tomography images L Fang, S Li, Q Nie, JA Izatt, CA Toth, S Farsiu Biomedical optics express 3 (5), 927-942, 2012 | 272 | 2012 |
| Feature extraction with multiscale covariance maps for hyperspectral image classification N He, ME Paoletti, JM Haut, L Fang, S Li, A Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 57 (2), 755-769, 2018 | 256 | 2018 |
| Fast acquisition and reconstruction of optical coherence tomography images via sparse representation L Fang, S Li, RP McNabb, Q Nie, AN Kuo, CA Toth, JA Izatt, S Farsiu IEEE transactions on medical imaging 32 (11), 2034-2049, 2013 | 250 | 2013 |
| Deformable convolutional neural networks for hyperspectral image classification J Zhu, L Fang, P Ghamisi IEEE Geoscience and Remote Sensing Letters 15 (8), 1254-1258, 2018 | 229 | 2018 |
| Skip-connected covariance network for remote sensing scene classification N He, L Fang, S Li, J Plaza, A Plaza IEEE transactions on neural networks and learning systems 31 (5), 1461-1474, 2019 | 216 | 2019 |
Shutao Li (李树涛)College of Electrical and Information Engineering, Hunan University (湖南大学 电气与信息工程学院)Verified email at hnu.edu.cn
