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2020 – today
- 2022
[j80]Minghui Wang, Qingpeng Li
, Yunchao Gu, Leyuan Fang, Xiao Xiang Zhu:
SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)- [j79]Tan Guo, Fulin Luo, Leyuan Fang, Bob Zhang:
Meta-Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair Learning for Hyperspectral Target Detection. Remote. Sens. 14(3): 481 (2022) - [j78]Ziwen Kan, Suhang Li, Mingzheng Hou, Leyuan Fang, Yi Zhang:
Attention-Based Octave Network for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1089-1102 (2022) - [j77]Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Yao Zhao, Sam Kwong:
RRNet: Relational Reasoning Network With Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j76]Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j75]Linshan Wu, Ming Lu, Leyuan Fang:
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j74]Jie Xie, Leyuan Fang, Bob Zhang, Jocelyn Chanussot, Shutao Li:
Super Resolution Guided Deep Network for Land Cover Classification From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j73]Jun Yue, Leyuan Fang, Hossein Rahmani, Pedram Ghamisi:
Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j72]Jun Yue, Dingshun Zhu, Leyuan Fang, Pedram Ghamisi, Yaowei Wang:
Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j71]Xingxin He, Leyuan Fang, Mingkui Tan, Xiangdong Chen:
Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation. IEEE Trans. Image Process. 31: 1870-1881 (2022) - [i8]Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. CoRR abs/2201.03686 (2022) - [i7]Yaowei Wang, Zhouxin Yang, Rui Liu, Deng Li, Yuandu Lai, Leyuan Fang, Yahong Han:
Peng Cheng Object Detection Benchmark for Smart City. CoRR abs/2203.05949 (2022) - [i6]Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot, Antonio J. Plaza:
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives. CoRR abs/2204.09120 (2022) - 2021
- [j70]Ran Cao, Leyuan Fang, Ting Lu, Nanjun He:
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 18(1): 43-47 (2021) - [j69]Jie Xie, Nanjun He, Leyuan Fang, Pedram Ghamisi:
Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification. IEEE Trans. Circuits Syst. Video Technol. 31(1): 246-259 (2021) - [j68]Jianjun Lei, Xinyu Li, Bo Peng, Leyuan Fang, Nam Ling, Qingming Huang:
Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2686-2697 (2021) - [j67]Anjing Guo, Leyuan Fang, Min Qi, Shutao Li:
Unsupervised Denoising of Optical Coherence Tomography Images With Nonlocal-Generative Adversarial Network. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j66]Xingxin He, Ying Deng, Leyuan Fang, Qinghua Peng:
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network. IEEE Trans. Medical Imaging 40(6): 1591-1602 (2021) - [j65]Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Hu Chen, Jiliu Zhou, Leyuan Fang, Yi Zhang:
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 40(10): 2600-2614 (2021) - [j64]He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng:
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. IEEE Trans. Medical Imaging 40(12): 3641-3651 (2021) - [c23]Ming Lu, Leyuan Fang, Yi Zhang:
Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing Imagery. CIKM Workshops 2021 - [c22]Guangmiao Guo, Leyuan Fang, Jun Yue:
Oriented Spatial Correlative Aligned Feature for Remote Sensing Object Detection. IGARSS 2021: 5319-5322 - [i5]Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Chunjie Zhang, Yao Zhao, Sam Kwong:
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images. CoRR abs/2110.14223 (2021) - [i4]Jiahui Ni, Zhimin Shao, Zhongzhou Zhang, Mingzheng Hou, Jiliu Zhou, Leyuan Fang, Yi Zhang:
LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes. CoRR abs/2111.12483 (2021) - 2020
- [j63]Nanjun He, Leyuan Fang, Antonio Plaza:
Hybrid first and second order attention Unet for building segmentation in remote sensing images. Sci. China Inf. Sci. 63(4) (2020) - [j62]Xingxin He, Leyuan Fang, Hossein Rabbani, Xiangdong Chen, Zhimin Liu:
Retinal optical coherence tomography image classification with label smoothing generative adversarial network. Neurocomputing 405: 37-47 (2020) - [j61]Zhimin Shao, Zexin Lu, Maosong Ran, Leyuan Fang, Jiliu Zhou, Yi Zhang:
Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 17(9): 1573-1577 (2020) - [j60]Leyuan Fang, Wenke Zhao, Nanjun He, Jian Zhu:
Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(9): 1593-1597 (2020) - [j59]Yun Lin, Shutao Li, Leyuan Fang, Pedram Ghamisi:
Multispectral Change Detection With Bilinear Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(10): 1757-1761 (2020) - [j58]Renwei Dian, Shutao Li, Leyuan Fang, Ting Lu, José M. Bioucas-Dias:
Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion. IEEE Trans. Cybern. 50(10): 4469-4480 (2020) - [j57]Jianjun Lei, Xiaowei Luo, Leyuan Fang, Mengyuan Wang, Yanfeng Gu:
Region-Enhanced Convolutional Neural Network for Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(8): 5693-5702 (2020) - [j56]Zhihong Huang, Leyuan Fang, Shutao Li:
Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 58(9): 5998-6007 (2020) - [j55]Nanjun He, Leyuan Fang, Shutao Li, Javier Plaza, Antonio Plaza:
Skip-Connected Covariance Network for Remote Sensing Scene Classification. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1461-1474 (2020) - [c21]Qiaobo Hao, Shutao Li, Leyuan Fang, Xudong Kang:
Multiscale Feature Extraction with Gaussian Curvature Filter for Hyperspectral Image Classification. IGARSS 2020: 80-83 - [c20]Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Jiliu Zhou, Leyuan Fang, Yi Zhang:
Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. MICCAI (5) 2020: 675-684 - [i3]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Neda Noormohammadi:
Multiscale Sparsifying Transform Learning for Image Denoising. CoRR abs/2003.11265 (2020)
2010 – 2019
- 2019
- [j54]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Yi Zhang:
Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks. Comput. Biol. Medicine 108: 1-8 (2019) - [j53]Guangzhe Zhao, Guangyun Liu, Leyuan Fang, Bing Tu, Pedram Ghamisi:
Multiple convolutional layers fusion framework for hyperspectral image classification. Neurocomputing 339: 149-160 (2019) - [j52]Renwei Dian, Shutao Li, Leyuan Fang, Qi Wei:
Multispectral and hyperspectral image fusion with spatial-spectral sparse representation. Inf. Fusion 49: 262-270 (2019) - [j51]Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri Dehnavi, Raheleh Kafieh, Mohammadreza Akhlaghi, Mohsen Pourazizi, 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. Inf. Fusion 51: 30-41 (2019) - [j50]Leyuan Fang, Yuxuan Jin, Laifeng Huang, Siyu Guo, Guangzhe Zhao, Xiangdong Chen:
Iterative fusion convolutional neural networks for classification of optical coherence tomography images. J. Vis. Commun. Image Represent. 59: 327-333 (2019) - [j49]Leyuan Fang, Zhiliang Liu, Weiwei Song:
Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16(9): 1412-1416 (2019) - [j48]Bing Tu, Nanying Li, Leyuan Fang, Xianchang Yang, Jianhui Wu:
Hyperspectral image classification with a class-dependent spatial-spectral mixed metric. Pattern Recognit. Lett. 123: 16-22 (2019) - [j47]Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi:
Hyperspectral Image Classification with Multi-Scale Feature Extraction. Remote. Sens. 11(5): 534 (2019) - [j46]Laifeng Huang, Xingxin He, Leyuan Fang, Hossein Rabbani, Xiangdong Chen:
Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network. IEEE Signal Process. Lett. 26(7): 1026-1030 (2019) - [j45]Ting Xie, Shutao Li, Leyuan Fang, Licheng Liu:
Tensor Completion via Nonlocal Low-Rank Regularization. IEEE Trans. Cybern. 49(6): 2344-2354 (2019) - [j44]Nanjun He, Mercedes Eugenia Paoletti, Juan Mario Haut, Leyuan Fang, Shutao Li, Antonio Plaza, Javier Plaza:
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(2): 755-769 (2019) - [j43]Leyuan Fang, Guangyun Liu, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral Image Classification With Squeeze Multibias Network. IEEE Trans. Geosci. Remote. Sens. 57(3): 1291-1301 (2019) - [j42]Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. IEEE Trans. Geosci. Remote. Sens. 57(9): 6690-6709 (2019) - [j41]Jie Xie, Nanjun He, Leyuan Fang, Antonio Plaza:
Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 57(9): 6916-6928 (2019) - [j40]Yue Wu, Leyuan Fang, Shutao Li:
Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising. IEEE Trans. Image Process. 28(6): 2719-2730 (2019) - [j39]Leyuan Fang, Chong Wang, Shutao Li, Hossein Rabbani, Xiangdong Chen, Zhimin Liu:
Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification. IEEE Trans. Medical Imaging 38(8): 1959-1970 (2019) - [j38]Renwei Dian, Shutao Li, Leyuan Fang:
Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2672-2683 (2019) - [c19]Nanjun He, Leyuan Fang, Yi Li, Antonio Plaza:
High-Order Self-Attention Network for Remote Sensing Scene Classification. IGARSS 2019: 3013-3016 - [i2]Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. CoRR abs/1910.12861 (2019) - 2018
- [j37]Zhihong Huang, Shutao Li, Leyuan Fang, Huali Li, Jón Atli Benediktsson:
Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition. IEEE Access 6: 1380-1390 (2018) - [j36]Leyuan Fang, Haijie Zhuo, Shutao Li:
Super-resolution of hyperspectral image via superpixel-based sparse representation. Neurocomputing 273: 171-177 (2018) - [j35]Bing Tu, Nanying Li, Leyuan Fang, Hongyan Fei, Danbing He:
Classification of hyperspectral images via weighted spatial correlation representation. J. Vis. Commun. Image Represent. 56: 160-166 (2018) - [j34]Jian Zhu, Leyuan Fang, Pedram Ghamisi:
Deformable Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(8): 1254-1258 (2018) - [j33]Bing Tu, Siyuan Huang, Leyuan Fang, Guoyun Zhang, Jinping Wang, Binxin Zheng:
Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4063-4075 (2018) - [j32]Wei Fu, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Contextual Online Dictionary Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1336-1347 (2018) - [j31]Leyuan Fang, Nanjun He, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Extinction Profiles Fusion for Hyperspectral Images Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1803-1815 (2018) - [j30]Weiwei Song, Shutao Li, Leyuan Fang, Ting Lu:
Hyperspectral Image Classification With Deep Feature Fusion Network. IEEE Trans. Geosci. Remote. Sens. 56(6): 3173-3184 (2018) - [j29]Leyuan Fang, Nanjun He, Shutao Li, Antonio J. Plaza, Javier Plaza:
A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation. IEEE Trans. Geosci. Remote. Sens. 56(6): 3534-3546 (2018) - [j28]Nanjun He, Leyuan Fang, Shutao Li, Antonio Plaza, Javier Plaza:
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling. IEEE Trans. Geosci. Remote. Sens. 56(12): 6899-6910 (2018) - [j27]Shutao Li, Renwei Dian, Leyuan Fang, José M. Bioucas-Dias:
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization. IEEE Trans. Image Process. 27(8): 4118-4130 (2018) - [j26]Renwei Dian, Shutao Li, Anjing Guo, Leyuan Fang:
Deep Hyperspectral Image Sharpening. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5345-5355 (2018) - [c18]Zhihong Huang, Shutao Li, Leyuan Fang:
Fusing Information from Subpixel to Superpixel for Hyperspectral Anomaly Detection. IGARSS 2018: 1260-1263 - [c17]Ting Xie, Shutao Li, Leyuan Fang, Licheng Liu:
A Novel Nonconvex Sparsity Measure for Hyperspectral Images Restoration. IGARSS 2018: 2729-2732 - [c16]Nanjun He, Leyuan Fang, Shutao Li, Antonio J. Plaza:
Covariance Matrix Based Feature Fusion for Scene Classification. IGARSS 2018: 3587-3590 - [c15]Weiwei Song, Leyuan Fang, Shutao Li:
Similarity-Preserving Deep Features for Hyperspectral Image Classification. IGARSS 2018: 3595-3598 - [c14]Renwei Dian, Shutao Li, Leyuan Fang, José M. Bioucas-Dias:
Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations. IGARSS 2018: 4003-4006 - [i1]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Yi Zhang:
Three-dimensional Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks. CoRR abs/1811.09022 (2018) - 2017
- [j25]Shutao Li, Xudong Kang, Leyuan Fang, Jianwen Hu, Haitao Yin:
Pixel-level image fusion: A survey of the state of the art. Inf. Fusion 33: 100-112 (2017) - [j24]Shuzhen Zhang, Shutao Li, Wei Fu, Leyuan Fang:
Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification. Remote. Sens. 9(2): 139 (2017) - [j23]Wei Fu, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 55(2): 671-682 (2017) - [j22]Ting Lu, Shutao Li, Leyuan Fang, Xiuping Jia, Jón Atli Benediktsson:
From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(8): 4398-4411 (2017) - [j21]Leyuan Fang, Cheng Wang, Shutao Li, Jón Atli Benediktsson:
Hyperspectral Image Classification via Multiple-Feature-Based Adaptive Sparse Representation. IEEE Trans. Instrum. Meas. 66(7): 1646-1657 (2017) - [j20]Leyuan Fang, Shutao Li, David Cunefare, Sina Farsiu:
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 36(2): 407-421 (2017) - [c13]Renwei Dian, Leyuan Fang, Shutao Li:
Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization. CVPR 2017: 3862-3871 - [c12]Nanjun He, Leyuan Fang, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral images classification by fusing extinction profiles feature. IGARSS 2017: 2267-2270 - [c11]Wei Fu, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Spectral-spatial online dictionary learning for hyperspectral image classification. IGARSS 2017: 3724-3727 - 2016
- [j19]Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang, Jón Atli Benediktsson:
Hyperspectral Image Classification Via Shape-Adaptive Joint Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 556-567 (2016) - [j18]Ting Lu, Shutao Li, Leyuan Fang, Yi Ma, Jón Atli Benediktsson:
Spectral-Spatial Adaptive Sparse Representation for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 54(1): 373-385 (2016) - [j17]Ting Lu, Shutao Li, Leyuan Fang, Lorenzo Bruzzone, Jón Atli Benediktsson:
Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(12): 7122-7134 (2016) - [j16]Shutao Li, Ting Lu, Leyuan Fang, Xiuping Jia, Jón Atli Benediktsson:
Probabilistic Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(12): 7416-7430 (2016) - [c10]Renwei Dian, Shutao Li, Leyuan Fang:
Non-local sparse representation for hyperspectral image super-resolution. ICIP 2016: 2832-2835 - [c9]Ting Lu, Shutao Li, Leyuan Fang:
Decision fusion of pixel-level and superpixel-level hyperspectral image classifiers. IGARSS 2016: 1524-1527 - 2015
- [j15]Xudong Kang, Shutao Li, Leyuan Fang, Meixiu Li, Jón Atli Benediktsson:
Extended Random Walker-Based Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 144-153 (2015) - [j14]Xudong Kang, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(4): 2241-2253 (2015) - [j13]Leyuan Fang, Shutao Li, Xudong Kang, Jón Atli Benediktsson:
Spectral-Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model. IEEE Trans. Geosci. Remote. Sens. 53(8): 4186-4201 (2015) - [j12]Leyuan Fang, Shutao Li, Wuhui Duan, Jinchang Ren, Jón Atli Benediktsson:
Classification of Hyperspectral Images by Exploiting Spectral-Spatial Information of Superpixel via Multiple Kernels. IEEE Trans. Geosci. Remote. Sens. 53(12): 6663-6674 (2015) - [j11]Leyuan Fang, Shutao Li:
Face Recognition by Exploiting Local Gabor Features With Multitask Adaptive Sparse Representation. IEEE Trans. Instrum. Meas. 64(10): 2605-2615 (2015) - [j10]Haicang Liu, Shutao Li, Leyuan Fang:
Robust Object Tracking Based on Principal Component Analysis and Local Sparse Representation. IEEE Trans. Instrum. Meas. 64(11): 2863-2875 (2015) - [j9]Leyuan Fang, Shutao Li, Xudong Kang, Joseph A. Izatt, Sina Farsiu:
3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography. IEEE Trans. Medical Imaging 34(6): 1306-1320 (2015) - [c8]Xudong Kang, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
High resolution visible image completion of urban region using corresponding hyperspectral image. IGARSS 2015: 1155-1158 - [c7]Wuhui Duan, Shutao Li, Leyuan Fang:
Superpixel-based composite kernel for hyperspectral image classification. IGARSS 2015: 1698-1701 - [c6]Wei Fu, Shutao Li, Leyuan Fang:
Spectral-spatial hyperspectral image classification via superpixel merging and sparse representation. IGARSS 2015: 4971-4974 - 2014
- [j8]Leyuan Fang, Shutao Li, Xudong Kang, Jón Atli Benediktsson:
Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 52(12): 7738-7749 (2014) - [c5]Dan Liu, Shutao Li, Leyuan Fang:
Hyperspectral Image Classification by Exploiting the Spectral-Spatial Correlations in the Sparse Coefficients. CCPR (1) 2014: 151-158 - [c4]Wuhui Duan, Shutao Li, Leyuan Fang:
Spectral-Spatial Hyperspectral Image Classification Using Superpixel and Extreme Learning Machines. CCPR (1) 2014: 159-167 - [c3]Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang, Jón Atli Benediktsson:
Spectral-spatial hyperspectral classification via shape-adaptive sparse representation. IGARSS 2014: 3430-3433 - 2013
- [j7]Haitao Yin, Shutao Li, Leyuan Fang:
Simultaneous image fusion and super-resolution using sparse representation. Inf. Fusion 14(3): 229-240 (2013) - [j6]Shutao Li, Haitao Yin, Leyuan Fang:
Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries. IEEE Trans. Geosci. Remote. Sens. 51(9): 4779-4789 (2013) - [j5]Leyuan Fang, Shutao Li, Ryan P. McNabb, Qing Nie, Anthony N. Kuo, Cynthia A. Toth, Joseph A. Izatt, Sina Farsiu:
Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation. IEEE Trans. Medical Imaging 32(11): 2034-2049 (2013) - 2012
- [j4]Shutao Li, Leyuan Fang, Haitao Yin:
Multitemporal Image Change Detection Using a Detail-Enhancing Approach With Nonsubsampled Contourlet Transform. IEEE Geosci. Remote. Sens. Lett. 9(5): 836-840 (2012) - [j3]Shutao Li, Leyuan Fang, Haitao Yin:
An Efficient Dictionary Learning Algorithm and Its Application to 3-D Medical Image Denoising. IEEE Trans. Biomed. Eng. 59(2): 417-427 (2012) - [j2]Shutao Li, Haitao Yin, Leyuan Fang:
Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion. IEEE Trans. Biomed. Eng. 59(12): 3450-3459 (2012) - [j1]Shutao Li, Leyuan Fang:
Signal Denoising With Random Refined Orthogonal Matching Pursuit. IEEE Trans. Instrum. Meas. 61(1): 26-34 (2012) - 2011
- [c2]