Leyuan Fang

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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)Verificeret mail på hnu.edu.cn
Jón Atli BenediktssonRector/President - Professor of Electrical and Computer Engineering, University of IcelandVerificeret mail på hi.is
Pedram GhamisiHZDR & Lancaster University, Group Leader and ProfessorVerificeret mail på hzdr.de
Jun YueCentral South UniversityVerificeret mail på csu.edu.cn
Nanjun HeOPPOVerificeret mail på hnu.edu.cn
Antonio PlazaIEEE Fellow, Head of the Hyperspectral Computing Laboratory, University of Extremadura, SpainVerificeret mail på unex.es
Renwei Dian (佃仁伟)Professor in Hunan University (湖南大学)Verificeret mail på hnu.edu.cn
Sina FarsiuAnderson-Rupp Professor of Biomedical Engineering and Professor of Ophthalmology, DukeVerificeret mail på duke.edu
Weiwei SongPengcheng Laboratory, https://github.com/weiweisong415Verificeret mail på pcl.ac.cn
Xudong Kang (康旭东)Hunan UniversityVerificeret mail på hnu.edu.cn
Weiying XieXidian UniversityVerificeret mail på xidian.edu.cn
Hossein RabbaniIsfahan University of Medical SciencesVerificeret mail på med.mui.ac.ir
Ting LuHunan UniversityVerificeret mail på hnu.edu.cn
Yi ZhangSichuan UniversityVerificeret mail på scu.edu.cn
wei fuhunan universityVerificeret mail på hnu.edu.cn
Bob ZhangUniversity of MacauVerificeret mail på um.edu.mo
David CunefarePhD student, Duke UniversityVerificeret mail på duke.edu
Xingxin HeHarvard Medical School, Massachusetts General HospitalVerificeret mail på mgh.harvard.edu
Chong WangUniversity of AdelaideVerificeret mail på adelaide.edu.au
Shaobo XiaChangsha University of Science and Technology (CSUST)Verificeret mail på csust.edu.cn

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Leyuan Fang

Professor in College of Electrical and Information Engineering, Hunan University

Verificeret mail på hnu.edu.cn - Startside

Image Processing Weakly Supervised Learning Optical Coherence Tomography Remote Sensing Image Classification


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	1656	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	1269	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	554	2018
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	546	2017
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	507	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	435	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	393	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	370	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	362	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	352	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	342	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	315	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	289	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	281	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	277	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	263	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	253	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	239	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	220	2019

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