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 | 958 | 2017 |
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 | 836 | 2019 |
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 | 447 | 2017 |
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 | 364 | 2012 |
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 | 360 | 2018 |
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 | 359 | 2015 |
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 | 322 | 2013 |
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 | 314 | 2018 |
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 | 314 | 2014 |
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 | 264 | 2018 |
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 | 258 | 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 | 247 | 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 | 239 | 2012 |
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 | 229 | 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 | 216 | 2017 |
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 | 213 | 2019 |
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 | 200 | 2013 |
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 | 186 | 2018 |
Intrinsic image decomposition for feature extraction of hyperspectral images X Kang, S Li, L Fang, JA Benediktsson IEEE Transactions on Geoscience and Remote Sensing 53 (4), 2241-2253, 2014 | 166 | 2014 |
A New Spatial–Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation L Fang, N He, S Li, AJ Plaza, J Plaza IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3534-3546, 2018 | 157 | 2018 |