Selected Publications
Selected Publications
2024
1. Yidan Liu;Jun Yue;Shaobo Xia;Pedram Ghamisi;Weiying Xie;Leyuan Fang. Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. arXiv preprint arXiv:2404.08926, 2024.[PDF]
2. Q Liu, J Yue, Y Fang, S Xia, L Fang. HyperMamba: A Spectral-Spatial Adaptive Mamba for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing.[PDF][Code]
3. L Fang, Z Yang, T Ma, J Yue, W Xie, P Ghamisi, J Li. Open-World Recognition in Remote Sensing: Concepts, challenges, and opportunities. IEEE Geoscience and Remote Sensing Magazine.[PDF]
4. Zhen Yang;Jun Yue;Pedram Ghamisi;Shiliang Zhang;Jiayi Ma;Leyuan Fang, Open Set Recognition in Real World. International Journal of Computer Vision
5.
2023
1. Leyuan Fang; Yinlong Yan;Jun Yue; Yue Deng, Towards the Vectorization of Hyperspectral lmagery. IEEE Transactions on Geoscience and Remote Sensing.[PDF][Code]
2. Jun Yue; Leyuan Fang; Shaobo Xia; Yue Deng; Jiayi Ma, Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models,
3. N Chen, J Yue, L Fang, and S Xia, SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models, IEEE Transactions on Geoscience and Remote Sensing[PDF][Code]
4.
5. L Wu, Z Zhong, L Fang, X He, Q Liu, J Ma, and H Chen, Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition[PDF][Code]
6. W Xie, K Jiang, Y Li, J Lei, L Fang, and W Guo, Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition[PDF][Code]
7. Y Lu, J Ma, L Fang, X Tian, and J Jiang, Robust and Scalable Gaussian Process Regression and Its Applications, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition[PDF][Code]
2022
1.Linshan Wu, Leyuan Fang, Jun Yue, Bob Zhang, Pedram Ghamisi, and Min He, Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images, IEEE Trans. On Image Processing[PDF]
2.Lihan Ouyang; Leyuan Fang; Xinyu Ji, Multi-granularity Self-Attention Network for Fine-Grained Ship Detection in Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing[PDF]
3.Jun Yue; Leyuan Fang;Min He,Spectral-Spatial Latent Reconstruction for Open-Set Hyperspectral Image Classification,IEEE Trans. On Image Processing[PDF]
4.L. Fang, D. S. Zhu, J. Yue, B. Zhang, and M. He, Geometric-spectral reconstruction learning for multi-source open-set classification with hyperspectral and LiDAR data,IEEE/CAA Journal of Automatica Sinica[PDF]
5.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,IEEE Geoscience and Remote Sensing Magazine[PDF]
6.Linshan Wu; Ming Lu; Leyuan Fang,Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation,IEEE Transactions on Geoscience and Remote Sensing[PDF]
7.*Xingxin He; Leyuan Fang; Mingkui Tan; Xiangdong Chen,Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation,IEEE Transactions on Image Processing[PDF]
8.*Zezhou Li; Jun Yue; Leyuan Fang,Adaptive Regional Multiple Features for Large-Scale High Resolution Remote Sensing Image Registration,IEEE Transactions on Geoscience and Remote Sensing[PDF]
9.*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 Transactions on Geoscience and Remote Sensing[PDF]
10.Tan Guo; Fulin Luo; Leyuan Fang; Bob Zhang,Meta-Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair Learning for Hyperspectral Target Detection,Remote Sensing[PDF]
2021
1. *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 Transactions on Geoscience and Remote Sensing[PDF]
2.*Jie Xie; Leyuan Fang; Bob Zhang; Jocelyn Chanussot; Shutao Li,Super Resolution Guided Deep Network for Land Cover Classification From Remote Sensing Images,IEEE Transactions on Geoscience and Remote Sensing[PDF]
3.*Jun Yue; Dingshun Zhu; Leyuan Fang; Pedram Ghamisi; Yaowei Wang,Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples,IEEE Transactions on Geoscience and Remote Sensing[PDF]
4.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 Transactions on Medical Imaging[PDF]
5.*Xingxin He; Ying Deng; Leyuan Fang; Qinghua Peng,Multi-Modal Retinal Image Classification With Modality-Specific Attention Network,IEEE Transactions on Medical Imaging[PDF]
6.*Jun Yue; Leyuan Fang; Hossein Rahmani; Pedram Ghamisi,Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2020
1. *Jianjun Lei; Xinyu Li; Bo Peng; Leyuan Fang,Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image,IEEE Transactions on Circuits and Systems for Video Technology [PDF]
2.*XingxinHe;LeyuanFang;HosseinRabbani;XiangdongChen;ZhiminLiu,Retinal optical coherence tomography image classification with label smoothing generative adversarial network,Neurocomputing
3. *Anjing Guo; Leyuan Fang; Min Qi; Shutao Li,Unsupervised Denoising of Optical Coherence Tomography Images With Nonlocal-Generative Adversarial Network,IEEE Transactions on Instrumentation and Measurement [PDF]
4.*Nanjun He, Leyuan Fang,Antonio Plaza ,Hybrid first and second order attention Unet for building segmentation in remote sensing images,Science China Information Sciences [PDF]
5.Zhihong Huang; Leyuan Fang; Shutao Li,Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection,IEEE Transactions on Geoscience and Remote Sensing [PDF]
6.*Jie Xie; Nanjun He; Leyuan Fang; Pedram Ghamisi,Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification,IEEE Transactions on Circuits and Systems for Video Technology[PDF]
7.*Jianjun Lei; Xiaowei Luo; Leyuan Fang; Mengyuan Wang; Yanfeng Gu,Region-Enhanced Convolutional Neural Network for Object Detection in Remote Sensing Images,IEEE Transactions on Geoscience and Remote Sensing[PDF]
8. *Ran Cao; Leyuan Fang; Ting Lu; Nanjun He,Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification,IEEE Geoscience and Remote Sensing Letters [PDF]
9.*Leyuan Fang; Wenke Zhao; Nanjun He; Jian Zhu,Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification,IEEE Geoscience and Remote Sensing Letters [PDF]
2019
1.Yun Lin; Shutao Li; Leyuan Fang; Pedram Ghamisi,Multispectral Change Detection With Bilinear Convolutional Neural Networks,IEEE Geoscience and Remote Sensing Letters [PDF]
2.Renwei Dian; Shutao Li; Leyuan Fang; Ting Lu; José M. Bioucas-Dias,Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion,IEEE Transactions on Cybernetics [PDF]
3.MarziehMokhtari;HosseinRabbani;AlirezaMehri-Dehnavi;RahelehKafieh;Mohammad-RezaAkhlaghi;MohsenPourazizi;FangLeyuan,Local comparison of cup to disc ratio in right and left eyes based on fusion of color fundus images and OCT B-scans,Information Fusion[PDF]
4.RenweiDian;ShutaoLi;LeyuanFang;QiWei,Multispectral and hyperspectral image fusion with spatial-spectral sparse representation,Information Fusion[PDF]
5.*Nanjun He; Leyuan Fang; Shutao Li; Javier Plaza; Antonio Plaza,Skip-Connected Covariance Network for Remote Sensing Scene Classification,IEEE Transactions on Neural Networks and Learning Systems[PDF]
6.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 Processing Letters[PDF]
7.*Jie Xie; Nanjun He; Leyuan Fang; Antonio Plaza,Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification,IEEE Transactions on Geoscience and Remote Sensing [PDF]
8.Shutao Li; Weiwei Song; Leyuan Fang; Yushi Chen; Pedram Ghamisi; Jón Atli Benediktsson,Deep Learning for Hyperspectral Image Classification: An Overview,IEEE Transactions on Geoscience and Remote Sensing[PDF]
9.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 Transactions on Medical Imaging [PDF]
10.Renwei Dian; Shutao Li; Leyuan Fang,Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution,IEEE Transactions on Neural Networks and Learning Systems[PDF]
2018
1.Yue Wu; Leyuan Fang; Shutao Li,Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising,IEEE Transactions on Image Processing[PDF]
2.Arjun D. Desai, Chunlei Peng, Leyuan Fang, Dibyendu Mukherjee, Andrew Yeung, Stephanie J. Jaffe, Jennifer B. Griffin, and Sina Farsiu,Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging,Biomedical Optics Express[PDF]
3.Leyuan Fang; Guangyun Liu; Shutao Li; Pedram Ghamisi; Jón Atli Benediktsson,Hyperspectral Image Classification With Squeeze Multibias Network,IEEE Transactions on Geoscience and Remote Sensing [PDF]
4.Pedram Ghamisi; Emmanuel Maggiori; Shutao Li; Roberto Souza; Yuliya Tarablaka;Gabriele Moser;Andrea De Giorgi;Leyuan Fang;Yushi Chen;Mingmin Chi;Sebastiano B. Serpico;Jón Atli Benediktsson,New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning,IEEE Geoscience and Remote Sensing Magazine [PDF]
5.Nanjun He; Mercedes E. Paoletti; Juan Mario Haut; Leyuan Fang; Shutao Li;Antonio Plaza;Javier Plaza,Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing[PDF]
6.*Jian Zhu; Leyuan Fang; Pedram Ghamisi,Deformable Convolutional Neural Networks for Hyperspectral Image Classification,IEEE Geoscience and Remote Sensing Letters[PDF]
7.Shutao Li; Renwei Dian; Leyuan Fang; José M. Bioucas-Dias,Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization,IEEE Transactions on Image Processing [PDF]
8.Nanjun He; Leyuan Fang; Shutao Li; Antonio Plaza; Javier Plaza,Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling,IEEE Transactions on Geoscience and Remote Sensing[PDF]
9.Jessica Loo, Leyuan Fang, David Cunefare, Glenn J. Jaffe, and Sina Farsiu ,Deep longitudinal transfer learning-based automatic segmentation of photoreceptor ellipsoid zone defects on optical coherence tomography images of macular telangiectasia type 2,Biomedical Optics Express[PDF]
10.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 Transactions on Geoscience and Remote Sensing[PDF]
11.Weiwei Song; Shutao Li; Leyuan Fang; Ting Lu,Hyperspectral Image Classification With Deep Feature Fusion Network,IEEE Transactions on Geoscience and Remote Sensing[PDF]
12.Ting Xie; Shutao Li; Leyuan Fang; Licheng Liu,Tensor Completion via Nonlocal Low-Rank Regularization,IEEE Transactions on Cybernetics[PDF]
13.Renwei Dian; Shutao Li; Anjing Guo; Leyuan Fang,Deep Hyperspectral Image Sharpening,IEEE Transactions on Neural Networks and Learning Systems[PDF]
2017
1.Leyuan Fang; Nanjun He; Shutao Li; Pedram Ghamisi; Jón Atli Benediktsson,Extinction Profiles Fusion for Hyperspectral Images Classification,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2.Wei Fu; Shutao Li; Leyuan Fang; Jón Atli Benediktsson,Contextual Online Dictionary Learning for Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing[PDF]
3.Ting Lu; Shutao Li; Leyuan Fang; Xiuping Jia; Jón Atli Benediktsson,From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing[PDF]
4.Leyuan Fang; Cheng Wang; Shutao Li; Jón Atli Benediktsson,Hyperspectral Image Classification via Multiple-Feature-Based Adaptive Sparse Representation,IEEE Transactions on Instrumentation and Measurement[PDF]
5.Leyuan Fang, David Cunefare, Chong Wang, Robyn H. Guymer, Shutao Li, and Sina Farsiu,Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search,Biomedical Optics Express[PDF]
6.Leyuan Fang; Shutao Li; David Cunefare; Sina Farsiu,Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images,IEEE Transactions on Medical Imaging[PDF]
7.ShutaoLi;XudongKang;LeyuanFang;JianwenHu;HaitaoYin,Pixel-level image fusion: A survey of the state of the art,Information Fusion[PDF]
2016
1.Shutao Li; Ting Lu; Leyuan Fang; Xiuping Jia; Jón Atli Benediktsson,Probabilistic Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classification,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2.Ting Lu; Shutao Li; Leyuan Fang; Lorenzo Bruzzone; Jón Atli Benediktsson,Set-to-Set Distance-Based Spectral–Spatial Classification of Hyperspectral Images,IEEE Transactions on Geoscience and Remote Sensing[PDF]
3.Wei Fu; Shutao Li; Leyuan Fang; Jón Atli Benediktsson,Adaptive Spectral–Spatial Compression of Hyperspectral Image With Sparse Representation,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2015
1.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 Transactions on Geoscience and Remote Sensing[PDF]
2.Haicang Liu; Shutao Li; Leyuan Fang,Robust Object Tracking Based on Principal Component Analysis and Local Sparse Representation,IEEE Transactions on Instrumentation and Measurement [PDF]
3.Leyuan Fang; Shutao Li,Face Recognition by Exploiting Local Gabor Features With Multitask Adaptive Sparse Representation,IEEE Transactions on Instrumentation and Measurement [PDF]
4.Ting Lu; Shutao Li; Leyuan Fang; Yi Ma; Jón Atli Benediktsson,Spectral–Spatial Adaptive Sparse Representation for Hyperspectral Image Denoising,IEEE Transactions on Geoscience and Remote Sensing [PDF]
5.Leyuan Fang; Shutao Li; Xudong Kang; Jón Atli Benediktsson,Spectral–Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model,IEEE Transactions on Geoscience and Remote Sensing[PDF]
6.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 Transactions on Medical Imaging [PDF]
2014
1.Xudong Kang; Shutao Li; Leyuan Fang; Jón Atli Benediktsson,Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2.Xudong Kang; Shutao Li; Leyuan Fang; Meixiu Li; Jón Atli Benediktsson,Extended Random Walker-Based Classification of Hyperspectral Images,IEEE Transactions on Geoscience and Remote Sensing [PDF]
3.Leyuan Fang; Shutao Li; Xudong Kang; Jón Atli Benediktsson,Spectral–Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2013
1.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 Transactions on Medical Imaging[PDF]
2.Shutao Li; Haitao Yin; Leyuan Fang,Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries,IEEE Transactions on Geoscience and Remote Sensing[PDF]
2012
1.Shutao Li; Haitao Yin; Leyuan Fang,Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion,IEEE Transactions on Biomedical Engineering[PDF]
2011
1.Shutao Li; Leyuan Fang; Haitao Yin,An Efficient Dictionary Learning Algorithm and Its Application to 3-D Medical Image Denoising,IEEE Transactions on Biomedical Engineering[PDF]
2.Shutao Li; Leyuan Fang,Signal Denoising With Random Refined Orthogonal Matching Pursuit,IEEE Transactions on Instrumentation and Measurement [PDF]
Patents
| 1 | 端到端旋转框目标搜索方法、系统及计算机可读存储介质 | 李庆鹏；康予涵；方乐缘；李智勇；付浩龙 |
| 2 | 应用于架空电力线的覆冰清扫机器人 | 涂兵；方乐缘；赵光哲；熊超；费洪艳 |
| 3 | 一种光学相干断层图像超分辨率重建方法和装置 | 方乐缘；李树涛 |
| 4 | 高光谱图像分类装置与方法 | 李树涛；卢婷；康旭东；方乐缘 |
| 5 | 异时异源多光谱图像盲光谱超分辨方法及系统 | 方乐缘；谢劼 |
| 6 | 遥感图像语义分割方法、装置、计算机设备和存储介质 | 方乐缘；周鹏；刘欣鑫 |
| 7 | 弱监督深度学习水体提取方法、装置、计算机设备和介质 | 方乐缘；鲁鸣 |
| 8 | 一种高分辨率高光谱计算成像方法、系统及介质 | 李树涛；佃仁伟；郭安静；康旭东；孙斌；方乐缘；卢婷 |
| 9 | 非匹配遥感图像弱监督学习超分辨率重建方法及系统 | 方乐缘；吴洁 |
| 10 | 基于深度双边滤波的点监督遥感图像语义分割方法及系统 | 方乐缘；吴林山 |
| 11 | 基于深度学习的多摄像头高光谱成像方法、系统及介质 | 李树涛；郭安静；孙斌；方乐缘 |