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Leyuan Fang
Leyuan Fang
Professor in College of Electrical and Information Engineering, Hunan University
Verified email at hnu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
15002019
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
12052017
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
5302017
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
5222018
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
4812018
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
4202012
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
3952015
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
3572018
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
3462013
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
3432019
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
3402014
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
3362018
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
2942017
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
2822018
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
2772015
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
2712012
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
2512018
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
2462013
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
2262018
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
2132019
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