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2020 – today
- 2024
[j148]Zhu Han
, Shuyi Xu, Lianru Gao, Zhi Li, Bing Zhang:
GRetNet: Gaussian Retentive Network for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [j147]Jinyan Nie, He Sun, Xu Sun, Li Ni, Lianru Gao:
Cross-Modal Feature Fusion and Interaction Strategy for CNN-Transformer-Based Object Detection in Visual and Infrared Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j146]Degang Wang, Lina Zhuang, Lianru Gao, Xu Sun, Xiaobin Zhao:
Global Feature-Injected Blind-Spot Network for Hyperspectral Anomaly Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j145]Tianwei Zhang, Xu Sun, Lina Zhuang, Lianru Gao, Bing Zhang, Ke Zheng:
Shape-Sensitive Feature Extraction for Large-Aspect-Ratio Object Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j144]Minghua Wang, Lianru Gao, Longfei Ren, Xian Sun, Jocelyn Chanussot:
Hyperspectral Simultaneous Anomaly Detection and Denoising: Insights From Integrative Perspective. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 13966-13980 (2024) - [j143]Zhu Han, Jin Yang, Lianru Gao, Zhiqiang Zeng, Bing Zhang, Jocelyn Chanussot:
Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j142]Mengying Jiang, Yuanchao Su, Lianru Gao, Antonio Plaza, Xi-Le Zhao, Xu Sun, Guizhong Liu:
GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j141]Jiaxin Li, Ke Zheng, Lianru Gao, Li Ni, Min Huang, Jocelyn Chanussot:
Model-Informed Multistage Unsupervised Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j140]Zhi Li, Ke Zheng, Jiaxin Li, Chengrui Li, Lianru Gao:
Cross-Semantic Heterogeneous Modeling Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j139]Longfei Ren, Lianru Gao, Minghua Wang, Xu Sun, Jocelyn Chanussot:
HADGSM: A Unified Nonconvex Framework for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j138]Yuanchao Su, Zhiqing Zhu, Lianru Gao, Antonio Plaza, Pengfei Li, Xu Sun, Xiang Xu:
DAAN: A Deep Autoencoder-Based Augmented Network for Blind Multilinear Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j137]He Sun, Lizhi Wang, Lei Zhang, Lianru Gao:
Hyperbolic Space-Based Autoencoder for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j136]Xiaotong Sun, Lina Zhuang, Lianru Gao, Hongmin Gao, Xu Sun, Bing Zhang:
A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j135]Xiaotong Sun, Lina Zhuang, Lianru Gao, Hongmin Gao, Xu Sun, Bing Zhang:
Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j134]Degang Wang, Lina Zhuang, Lianru Gao, Xu Sun, Xiaobin Zhao, Antonio Plaza:
Sliding Dual-Window-Inspired Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j133]Haoyang Yu, Zhixin Ling, Ke Zheng, Lianru Gao, Jiaxin Li, Jocelyn Chanussot:
Unsupervised Hyperspectral and Multispectral Image Fusion With Deep Spectral-Spatial Collaborative Constraint. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j132]Haoyang Yu, Hao Yang, Lianru Gao, Jiaochan Hu, Antonio Plaza, Bing Zhang:
Hyperspectral Image Change Detection Based on Gated Spectral-Spatial-Temporal Attention Network With Spectral Similarity Filtering. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j131]Wenjuan Zhang, Ruiqi Sun, Zhen Li, Lianru Gao, Jiaxin Li, Bin Zhao, Bing Zhang:
Non-Local Similarity-Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j130]Lina Zhuang, Michael Ng, Lianru Gao, Zhicheng Wang:
Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j129]Wenbo Yu, Lianru Gao, He Huang, Yi Shen, Gangxiang Shen:
PID-HLfusion: Pluggable Progressive Illumination Driven Hyperspectral and LiDAR Data Fusion Considering Crossmodal Geometric Structures. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - [c66]Jin Xu, Yuanchao Su, Lianru Gao, Xu Sun, Longfei Ren, Zhiqing Zhu, Mengying Jiang:
MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution. IGARSS 2024: 7738-7741 - [c65]Xiaotong Sun, Lina Zhuang, Lianru Gao, Hongmin Gao, Xu Sun, Yi Liu, Yao Liu, Bing Zhang:
Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection. IGARSS 2024: 8209-8213 - [c64]Zhi Li, Ke Zheng, Longfei Ren, Yi Liu, Lianru Gao:
Hyperspectral Image Classification via Inverse Mahalanobis Attention Network. IGARSS 2024: 8717-8720 - [c63]Sheng Li, Ruoqing Xu, Yuanchao Su, Lianru Gao, Xu Sun, Longfei Ren, Zhiqing Zhu:
DAMS: Dilated Attention with Multi-Stream Learning for Super-Resolution of Hyperspectral Remote Sensing Images. IGARSS 2024: 8995-8998 - [c62]Luyang Cai, Shuyi Xu, He Sun, Xu Sun, Lina Yang, Lianru Gao:
Primary Modality Guided Multimodal Change Detection. IGARSS 2024: 10323-10327 - [c61]Shuyi Xu, Luyang Cai, He Sun, Xu Sun, Lina Yang, Lianru Gao:
Adaptive Endmembers Learning-Based Deep Unmixing Network for Hyperspectral Change Detection. IGARSS 2024: 10333-10337 - [i13]Yanheng Wang, Xiaohan Yu, Yongsheng Gao, Jianjun Sha, Jian Wang, Lianru Gao, Yonggang Zhang, Xianhui Rong:
SpectralKAN: Kolmogorov-Arnold Network for Hyperspectral Images Change Detection. CoRR abs/2407.00949 (2024) - 2023
- [j128]Degang Wang, Lianru Gao, Ying Qu, Xu Sun, Wenzhi Liao:
Frequency-to-spectrum mapping GAN for semisupervised hyperspectral anomaly detection. CAAI Trans. Intell. Technol. 8(4): 1258-1273 (2023) - [j127]Haotian Zhang, Jing Yao, Li Ni, Lianru Gao, Min Huang:
Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3635-3644 (2023) - [j126]Yuanchao Su, Lianru Gao, Mengying Jiang, Antonio Plaza, Xu Sun, Bing Zhang:
NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. IEEE Trans. Cybern. 53(10): 6649-6662 (2023) - [j125]Lianru Gao, Jiaxin Li, Ke Zheng, Xiuping Jia:
Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j124]Lianru Gao, Xiaotong Sun, Xu Sun, Lina Zhuang, Qian Du, Bing Zhang:
Hyperspectral Anomaly Detection Based on Chessboard Topology. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j123]Lianru Gao, Degang Wang, Lina Zhuang, Xu Sun, Min Huang, Antonio Plaza:
BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j122]Jiaxin Li, Ke Zheng, Zhi Li, Lianru Gao, Xiuping Jia:
X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j121]Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot:
Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j120]Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot:
Orthogonal Subspace Unmixing to Address Spectral Variability for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j119]Yuanchao Su, Jiangyi Chen, Lianru Gao, Antonio Plaza, Mengying Jiang, Xiang Xu, Xu Sun, Pengfei Li:
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j118]Xiaotong Sun, Lina Zhuang, Lianru Gao, Hongmin Gao, Xu Sun, Bing Zhang:
Information Retrieval With Chessboard-Shaped Topology for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j117]Yanheng Wang, Jianjun Sha, Lianru Gao, Yonggang Zhang, Xianhui Rong, Ce Zhang:
A Semi-Supervised Domain Alignment Transformer for Hyperspectral Images Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j116]Degang Wang, Lina Zhuang, Lianru Gao, Xu Sun, Min Huang, Antonio J. Plaza:
PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j115]Degang Wang, Lina Zhuang, Lianru Gao, Xu Sun, Min Huang, Antonio Plaza:
BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j114]Wenbo Yu, Lianru Gao, He Huang, Yi Shen, Gangxiang Shen:
HI2D2FNet: Hyperspectral Intrinsic Image Decomposition Guided Data Fusion Network for Hyperspectral and LiDAR Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j113]Xuming Zhang, Yuanchao Su, Lianru Gao, Lorenzo Bruzzone, Xingfa Gu, Qingjiu Tian:
A Lightweight Transformer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j112]Tianwei Zhang, Xu Sun, Lina Zhuang, Xiaoyu Dong, Lianru Gao, Bing Zhang, Ke Zheng:
FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [c60]Haoyang Yu, Zhixin Ling, Ke Zheng, Jiaxin Li, Siqi Liang, Lianru Gao:
Unsupervised Dynamic Convolutional Neural Network Model for Hyperspectral and Multispectral Image Fusion. IGARSS 2023: 6270-6273 - [c59]Jiaxin Li, Ke Zheng, Lianru Gao, Li Ni:
Interactive Autoencoders With Degradation Constraint For Hyperspectral Super-Resolution. IGARSS 2023: 7447-7450 - [c58]Jiaxin Li, Ke Zheng, Li Ni, Lianru Gao:
A New Unsupervised Network for Hyperspectral and Multispectral Image Fusion. WHISPERS 2023: 1-5 - [c57]Longfei Ren, Minghua Wang, Xu Sun, Lianru Gao, Min Huang:
Hyperspectral Anomaly Detection Via Nonconvex Low-Rank Representation. WHISPERS 2023: 1-5 - 2022
- [j111]Weiqiang Rao, Ying Qu, Lianru Gao, Xu Sun, Yuanfeng Wu, Bing Zhang:
Transferable network with Siamese architecture for anomaly detection in hyperspectral images. Int. J. Appl. Earth Obs. Geoinformation 106: 102669 (2022) - [j110]Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep learning in multimodal remote sensing data fusion: A comprehensive review. Int. J. Appl. Earth Obs. Geoinformation 112: 102926 (2022) - [j109]Zhu Han, Danfeng Hong, Lianru Gao, Swalpa Kumar Roy, Bing Zhang, Jocelyn Chanussot:
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j108]Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot:
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j107]Danfeng Hong, Xin Wu, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j106]Jiaxin Li, Ke Zheng, Jing Yao, Lianru Gao, Danfeng Hong:
Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j105]Yuanchao Su, Mengying Jiang, Lianru Gao, Xu Sun, Xueer You, Pengfei Li:
Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j104]Bing Zhang, Yashinov Aziz, Zhicheng Wang, Lina Zhuang, Michael K. Ng, Lianru Gao:
Hyperspectral Image Stripe Detection and Correction Using Gabor Filters and Subspace Representation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j103]Hezhi Sun, Ming Liu, Ke Zheng, Dong Yang, Jindong Li, Lianru Gao:
Hyperspectral Image Denoising via Low-Rank Representation and CNN Denoiser. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 716-728 (2022) - [j102]Bing Zhang, Yuanfeng Wu, Boya Zhao, Jocelyn Chanussot, Danfeng Hong, Jing Yao, Lianru Gao:
Progress and Challenges in Intelligent Remote Sensing Satellite Systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1814-1822 (2022) - [j101]Lian Liu, Danfeng Hong, Li Ni, Lianru Gao:
Multilayer Cascade Screening Strategy for Semi-Supervised Change Detection in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1926-1940 (2022) - [j100]Shuo Wang, Wei Feng, Yinghui Quan, Wenxing Bao, Gabriel Dauphin, Lianru Gao, Xian Zhong, Mengdao Xing:
Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5943-5952 (2022) - [j99]Zhu Han, Danfeng Hong, Lianru Gao, Bing Zhang, Min Huang, Jocelyn Chanussot:
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j98]Shuxian Dong, Wei Feng, Yinghui Quan, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
Deep Ensemble CNN Method Based on Sample Expansion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j97]Lianru Gao, Zhu Han, Danfeng Hong, Bing Zhang, Jocelyn Chanussot:
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j96]Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot:
Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j95]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing: Insights From Attention Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j94]Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j93]Wenfei Luo, Lianru Gao, Danfeng Hong, Jocelyn Chanussot:
Endmember Purification With Affine Simplicial Cone Model. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [j92]Weiqiang Rao, Lianru Gao, Ying Qu, Xu Sun, Bing Zhang, Jocelyn Chanussot:
Siamese Transformer Network for Hyperspectral Image Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j91]Xiaotong Sun, Ying Qu, Lianru Gao, Xu Sun, Hairong Qi, Bing Zhang, Ting Shen:
Ensemble-Based Information Retrieval With Mass Estimation for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [j90]Yanheng Wang, Danfeng Hong, Jianjun Sha, Lianru Gao, Lian Liu, Yonggang Zhang, Xianhui Rong:
Spectral-Spatial-Temporal Transformers for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j89]Zhicheng Wang, Michael K. Ng, Lina Zhuang, Lianru Gao, Bing Zhang:
Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j88]Ke Zheng, Lianru Gao, Danfeng Hong, Bing Zhang, Jocelyn Chanussot:
NonRegSRNet: A Nonrigid Registration Hyperspectral Super-Resolution Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j87]Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, José M. Bioucas-Dias:
Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j86]Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6518-6531 (2022) - [c56]Yuanchao Su, Mengying Jiang, Lianru Gao, Xueer You, Xu Sun, Pengfei Li:
Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images. IGARSS 2022: 1720-1723 - [c55]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing via Attention Networks. IGARSS 2022: 1784-1787 - [c54]Jing Yao, Danfeng Hong, Lianru Gao, Jocelyn Chanussot:
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification. IGARSS 2022: 4807-4810 - [c53]Longfei Ren, Danfeng Hong, Xu Sun, Lianru Gao, Min Huang:
Hyperspectral Sparse Unmixing Via Firm Thresholding Mapping. WHISPERS 2022: 1-5 - [i12]Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review. CoRR abs/2205.01380 (2022) - [i11]Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review. CoRR abs/2205.06407 (2022) - 2021
- [j85]Yanheng Wang, Lianru Gao, Danfeng Hong, Jianjun Sha, Lian Liu, Bing Zhang, Xianhui Rong, Yonggang Zhang:
Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 104: 102582 (2021) - [j84]Wei Feng, Yinghui Quan, Gabriel Dauphin, Qiang Li, Lianru Gao, Wenjiang Huang, Junshi Xia, Wentao Zhu, Mengdao Xing:
Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data. Inf. Sci. 575: 611-638 (2021) - [j83]Haoyang Yu, Xiao-Di Shang, Xiao Zhang, Lianru Gao, Meiping Song, Jiaochan Hu:
Hyperspectral Image Classification Based on Adjacent Constraint Representation. IEEE Geosci. Remote. Sens. Lett. 18(4): 707-711 (2021) - [j82]Zhu Han, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Deep Half-Siamese Networks for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 18(11): 1996-2000 (2021) - [j81]Boya Zhao, Yuanfeng Wu, Xinran Guan, Lianru Gao, Bing Zhang:
An Improved Aggregated-Mosaic Method for the Sparse Object Detection of Remote Sensing Imagery. Remote. Sens. 13(13): 2602 (2021) - [j80]Xuemei Zhao, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China. Remote. Sens. 13(21): 4194 (2021) - [j79]Qinzhe Lv, Wei Feng, Yinghui Quan, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
Enhanced-Random-Feature-Subspace-Based Ensemble CNN for the Imbalanced Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3988-3999 (2021) - [j78]Shuxian Dong, Yinghui Quan, Wei Feng, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
A Pixel Cluster CNN and Spectral-Spatial Fusion Algorithm for Hyperspectral Image Classification With Small-Size Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4101-4114 (2021) - [j77]Xiaoyu Dong, Xu Sun, Xiuping Jia, Zhihong Xi, Lianru Gao, Bing Zhang:
Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks. IEEE Trans. Geosci. Remote. Sens. 59(2): 1618-1633 (2021) - [j76]Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning. IEEE Trans. Geosci. Remote. Sens. 59(3): 2269-2280 (2021) - [j75]Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution. IEEE Trans. Geosci. Remote. Sens. 59(3): 2487-2502 (2021) - [j74]Hongmin Gao, Yao Yang, Chenming Li, Lianru Gao, Bing Zhang:
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(4): 3396-3408 (2021) - [j73]Xiaoyu Dong, Longguang Wang, Xu Sun, Xiuping Jia, Lianru Gao, Bing Zhang:
Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks. IEEE Trans. Geosci. Remote. Sens. 59(4): 3473-3485 (2021) - [j72]Xiaotong Sun, Ying Qu, Lianru Gao, Xu Sun, Hairong Qi, Bing Zhang, Ting Shen:
Target Detection Through Tree-Structured Encoding for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4233-4249 (2021) - [j71]Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4340-4354 (2021) - [j70]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 5966-5978 (2021) - [j69]Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Yuxiang Zhang, Hairong Qi:
Physically Constrained Transfer Learning Through Shared Abundance Space for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10455-10472 (2021) - [c52]Lian Liu, Danfeng Hong, Lianru Gao:
Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy. CIKM Workshops 2021 - [c51]Danfeng Hong, Xin Wu, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. IGARSS 2021: 282-285 - [c50]Hao Zhang, Haoyang Yu, Zhen Xu, Ke Zheng, Lianru Gao:
A Novel Classification Framework for Hyperspectral Image Classification Based on Multi-Scale Dense Network. IGARSS 2021: 2238-2241 - [c49]Zhu Han, Danfeng Hong, Lianru Gao, Jocelyn Chanussot, Bing Zhang:
EvoNAS: Evolvable Neural Architecture Search for Hyperspectral Unmixing. IGARSS 2021: 3325-3328 - [c48]Qinzhe Lv, Wei Feng, Yinghui Quan, Qiang Li, Gabriel Dauphin, Lianru Gao, Guoping Zhao, Mengdao Xing:
Ensemble CNN with Enhanced Feature Subspaces for Imbalanced Hyperspectral Image Classification. IGARSS 2021: 3669-3672 - [c47]Danfeng Hong, Lianru Gao, Xin Wu, Jing Yao, Naoto Yokoya, Bing Zhang:
A Unified Multimodal Deep Learning Framework For Remote Sensing Imagery Classification. WHISPERS 2021: 1-5 - [c46]Danfeng Hong, Lianru Gao, Xin Wu, Jing Yao, Bing Zhang:
Revisiting Graph Convolutional Networks with Mini-Batch Sampling for Hyperspectral Image Classification. WHISPERS 2021: 1-5 - [c45]Zhen Xu, Haoyang Yu, Ke Zheng, Lianru Gao, Meiping Song:
A Novel Classification Framework for Hyperspectral Image Classification Based on Multiscale Spectral-Spatial Convolutional Network. WHISPERS 2021: 1-5 - [i10]Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu:
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. CoRR abs/2103.01449 (2021) - [i9]Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, José M. Bioucas-Dias:
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations. CoRR abs/2103.07437 (2021) - [i8]Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot:
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. CoRR abs/2103.16204 (2021) - [i7]Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. CoRR abs/2105.10194 (2021) - [i6]Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers. CoRR abs/2107.02988 (2021) - 2020
- [j68]Lianru Gao, Daixin Gu, Lina Zhuang, Jinchang Ren, Dong Yang, Bing Zhang:
Combining t-Distributed Stochastic Neighbor Embedding With Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(8): 1368-1372 (2020) - [j67]Haoyang Yu, Lianru Gao, Jun Li, Bing Zhang:
Subspace-based multitask learning framework for hyperspectral imagery classification. Multim. Tools Appl. 79(13-14): 8887-8909 (2020) - [j66]Xiaochen Yang, Mingzhi Dong, Ziyu Wang, Lianru Gao, Lefei Zhang, Jing-Hao Xue:
Data-augmented matched subspace detector for hyperspectral subpixel target detection. Pattern Recognit. 106: 107464 (2020) - [j65]Yao Liu, Lianru Gao, Chenchao Xiao, Ying Qu, Ke Zheng, Andrea Marinoni:
Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning. Remote. Sens. 12(11): 1780 (2020) - [j64]Yinghui Quan, Xian Zhong, Wei Feng, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
A Novel Feature Extension Method for the Forest Disaster Monitoring Using Multispectral Data. Remote. Sens. 12(14): 2261 (2020) - [j63]Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Qiandong Guo, Lianru Gao:
Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation. Remote. Sens. 12(20): 3342 (2020) - [j62]Zhicheng Wang, Lina Zhuang, Lianru Gao, Andrea Marinoni, Bing Zhang, Michael K. Ng:
Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. Remote. Sens. 12(24): 4117 (2020) - [j61]Haoyang Yu, Xiao Zhang, Chunyan Yu, Lianru Gao, Bing Zhang:
Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4506-4517 (2020) - [j60]Mengmeng Zhang, Wei Li, Qian Du, Lianru Gao, Bing Zhang:
Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN. IEEE Trans. Cybern. 50(1): 100-111 (2020) - [j59]Haoyang Yu, Lianru Gao, Wenzhi Liao, Bing Zhang, Lina Zhuang, Meiping Song, Jocelyn Chanussot:
Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3043-3056 (2020) - [c44]Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Lianru Gao:
Superpixel-Level Constraint Representation for Hyperspectral Imagery Classification. IGARSS 2020: 56-59 - [c43]Zengfu Hou, Wei Li, Lianru Gao, Bing Zhang, Pengge Ma, Junling Sun:
A Background Refinement Collaborative Representation Method with Saliency Weight for Hyperspectral Anomaly Detection. IGARSS 2020: 2412-2415 - [c42]Shujuan Yin, Zheyu Liu, Guihong Li, Fei Qiao, Qi Wei, Yuanfeng Wu, Lianru Gao, Xinjun Liu, Huazhong Yang:
RARA: Dataflow Based Error Compensation Methods with Runtime Accuracy-Reconfigurable Adder. ISQED 2020: 60-66 - [i5]Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning. CoRR abs/2007.14006 (2020) - [i4]Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution. CoRR abs/2007.14007 (2020) - [i3]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. CoRR abs/2008.02457 (2020) - [i2]Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification. CoRR abs/2008.05457 (2020) - [i1]Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi:
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification. CoRR abs/2008.08563 (2020)
2010 – 2019
- 2019
- [j58]Wenfei Luo, Lianru Gao, Ruihao Zhang, Andrea Marinoni, Bing Zhang:
Bilinear normal mixing model for spectral unmixing. IET Image Process. 13(2): 344-354 (2019) - [j57]Peng Zhang, Haixia He, Lianru Gao:
A nonlinear and explicit framework of supervised manifold-feature extraction for hyperspectral image classification. Neurocomputing 337: 315-324 (2019) - [j56]Yuanfeng Wu, Sebastián López, Bing Zhang, Fei Qiao, Lianru Gao:
Approximate computing for onboard anomaly detection from hyperspectral images. J. Real Time Image Process. 16(1): 99-114 (2019) - [j55]Cong Li, Lianru Gao, Antonio Plaza, Bing Zhang:
FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images. J. Real Time Image Process. 16(5): 1681-1694 (2019) - [j54]Xuemei Zhao, Lianru Gao, Zhengchao Chen, Bing Zhang, Wenzhi Liao, Xuan Yang:
An Entropy and MRF Model-Based CNN for Large-Scale Landsat Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(7): 1145-1149 (2019) - [j53]Ke Zheng, Lianru Gao, Qiong Ran, Ximin Cui, Bing Zhang, Wenzhi Liao, Sen Jia:
Separable-spectral convolution and inception network for hyperspectral image super-resolution. Int. J. Mach. Learn. Cybern. 10(10): 2593-2607 (2019) - [j52]Xiaochen Yang, Lefei Zhang, Lianru Gao, Jing-Hao Xue:
MSDH: Matched subspace detector with heterogeneous noise. Pattern Recognit. Lett. 125: 701-707 (2019) - [j51]Qiaoqiao Shi, Wei Li, Ran Tao, Xu Sun, Lianru Gao:
Ship Classification Based on Multifeature Ensemble with Convolutional Neural Network. Remote. Sens. 11(4): 419 (2019) - [j50]Xuran Pan, Fan Yang, Lianru Gao, Zhengchao Chen, Bing Zhang, Hairui Fan, Jinchang Ren:
Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms. Remote. Sens. 11(8): 917 (2019) - [j49]Liwei Li, Zhi Yan, Qian Shen, Gang Cheng, Lianru Gao, Bing Zhang:
Water Body Extraction from Very High Spatial Resolution Remote Sensing Data Based on Fully Convolutional Networks. Remote. Sens. 11(10): 1162 (2019) - [j48]Zhengchao Chen, Kaixuan Lu, Lianru Gao, Baipeng Li, Jianwei Gao, Xuan Yang, Mufeng Yao, Bing Zhang:
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector. Remote. Sens. 11(11): 1377 (2019) - [j47]Ximin Cui, Ke Zheng, Lianru Gao, Bing Zhang, Dong Yang, Jinchang Ren:
Multiscale Spatial-Spectral Convolutional Network with Image-Based Framework for Hyperspectral Imagery Classification. Remote. Sens. 11(19): 2220 (2019) - [j46]Xiaoyu Dong, Zhihong Xi, Xu Sun, Lianru Gao:
Transferred Multi-Perception Attention Networks for Remote Sensing Image Super-Resolution. Remote. Sens. 11(23): 2857 (2019) - [j45]Jianwei Gao, Yi Sun, Bing Zhang, Zhengchao Chen, Lianru Gao, Wenjuan Zhang:
Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images. Sensors 19(3): 598 (2019) - [j44]Lianru Gao, Yiqun He, Xu Sun, Xiuping Jia, Bing Zhang:
Incorporating Negative Sample Training for Ship Detection Based on Deep Learning. Sensors 19(3): 684 (2019) - [c41]Wenzhi Liao, Daniel Ochoa, Lianru Gao, Bing Zhang, Wilfried Philips:
Morphological Analysis for Banana Disease Detection in Close Range Hyperspectral Remote Sensing Images. IGARSS 2019: 3697-3700 - 2018
- [j43]Qiaoqiao Shi, Wei Li, Fan Zhang, Wei Hu, Xu Sun, Lianru Gao:
Deep CNN With Multi-Scale Rotation Invariance Features for Ship Classification. IEEE Access 6: 38656-38668 (2018) - [j42]Wenzhi Liao, Frieke Van Coillie, Lianru Gao, Liwei Li, Bing Zhang, Jocelyn Chanussot:
Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping. IEEE Access 6: 68716-68729 (2018) - [j41]Chen Chen, Wei Li, Lianru Gao, Heng-Chao Li, Javier Plaza:
Special issue on advances in real-time image processing for remote sensing. J. Real Time Image Process. 15(3): 435-438 (2018) - [j40]Cong Li, Lianru Gao, Yuanfeng Wu, Bing Zhang, Javier Plaza, Antonio Plaza:
A real-time unsupervised background extraction-based target detection method for hyperspectral imagery. J. Real Time Image Process. 15(3): 597-615 (2018) - [j39]Jingjing Wu, Yu Jin, Wei Li, Lianru Gao, Bing Zhang:
FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection. J. Real Time Image Process. 15(3): 673-685 (2018) - [j38]Maofeng Tang, Bing Zhang, Andrea Marinoni, Lianru Gao, Paolo Gamba:
Multiharmonic Postnonlinear Mixing Model for Hyperspectral Nonlinear Unmixing. IEEE Geosci. Remote. Sens. Lett. 15(11): 1765-1769 (2018) - [j37]Xuran Pan, Lianru Gao, Andrea Marinoni, Bing Zhang, Fan Yang, Paolo Gamba:
Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network. Remote. Sens. 10(5): 743 (2018) - [j36]Jianhang Ma, Wenjuan Zhang, Andrea Marinoni, Lianru Gao, Bing Zhang:
An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images. Remote. Sens. 10(9): 1388 (2018) - [j35]Haoyang Yu, Lianru Gao, Wenzhi Liao, Bing Zhang:
Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification. Sensors 18(6): 1695 (2018) - [j34]Xuran Pan, Lianru Gao, Bing Zhang, Fan Yang, Wenzhi Liao:
High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network. Sensors 18(11): 3774 (2018) - [j33]Maofeng Tang, Lianru Gao, Andrea Marinoni, Paolo Gamba, Bing Zhang:
Integrating Spatial Information in the Normalized P-Linear Algorithm for Nonlinear Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1179-1190 (2018) - [j32]Changyu Zhu, Jun Li, Shaoquan Zhang, Changshan Wu, Bing Zhang, Lianru Gao, Antonio Plaza:
Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4775-4790 (2018) - [j31]Xiaodong Xu, Wei Li, Qiong Ran, Qian Du, Lianru Gao, Bing Zhang:
Multisource Remote Sensing Data Classification Based on Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 56(2): 937-949 (2018) - [c40]Xuemei Zhao, Lianru Gao, Zhengchao Chen, Bing Zhang, Wenzhi Liao:
CNN-based Large Scale Landsat Image Classification. APSIPA 2018: 611-617 - [c39]Xuran Pan, Lianru Gao, Bing Zhang, Fan Yang, Wenzhi Liao:
Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery. BICS 2018: 362-369 - [c38]Yiqun He, Xu Sun, Lianru Gao, Bing Zhang:
Ship Detection Without Sea-Land Segmentation for Large-Scale High-Resolution Optical Satellite Images. IGARSS 2018: 717-720 - [c37]Yuanfeng Wu, Lianru Gao, Wenzhi Liao, Paolo Gamba, Bing Zhang:
Potential Analysis of Feature Extraction Based Quick Response for Environmental Change with Social Media Photos. IGARSS 2018: 1132-1135 - [c36]Haoyang Yu, Lianru Gao, Wenzhi Liao, Paolo Gamba, Bing Zhang:
Global Spatial and Local Spectral Similarity-Based Group Sparse Representation for Hyperspectral Imagery Classification. IGARSS 2018: 3579-3582 - [c35]Xu Sun, Qian Peng, Bing Zhang, Lianru Gao, Lina Yang:
Constraint Non-Negative Matrix Factorization With Sparseness and Piece wise Smoothness for Hyperspectral Unmixing. WHISPERS 2018: 1-5 - 2017
- [j30]Bin Zhao, Lianru Gao, Wenzhi Liao, Bing Zhang:
A new kernel method for hyperspectral image feature extraction. Geo spatial Inf. Sci. 20(4): 309-318 (2017) - [j29]Haoyang Yu, Lianru Gao, Wei Li, Qian Du, Bing Zhang:
Locality Sensitive Discriminant Analysis for Group Sparse Representation-Based Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 14(8): 1358-1362 (2017) - [j28]Haoyang Yu, Lianru Gao, Wenzhi Liao, Bing Zhang, Aleksandra Pizurica, Wilfried Philips:
Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(11): 2142-2146 (2017) - [j27]Lianru Gao, Bin Zhao, Xiuping Jia, Wenzhi Liao, Bing Zhang:
Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification. Remote. Sens. 9(6): 548 (2017) - [j26]Lianru Gao, Dan Yao, Qingting Li, Lina Zhuang, Bing Zhang, José M. Bioucas-Dias:
A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping. Remote. Sens. 9(11): 1145 (2017) - [c34]Maofeng Tang, Lianru Gao, Andrea Marinoni, Bing Zhang:
Nonlinear hyperspectral unmixing based on normalized P-linear algorithm. IGARSS 2017: 1145-1148 - [c33]Wenzhi Liao, Frieke Van Coillie, Liwei Li, Bin Zhao, Lianru Gao, Wilfried Philips, Bing Zhang:
Fusion of multi-scale hyperspectral and lidar features for tree species mapping. IGARSS 2017: 2879-2882 - [c32]Dan Yao, Lina Zhuang, Lianru Gao, Bing Zhang, José M. Bioucas-Dias:
Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 data. IGARSS 2017: 3409-3412 - 2016
- [j25]Lianru Gao, Lina Zhuang, Bing Zhang:
Region-Based Estimate of Endmember Variances for Hyperspectral Image Unmixing. IEEE Geosci. Remote. Sens. Lett. 13(12): 1807-1811 (2016) - [j24]Liwei Li, Bing Zhang, Wei Li, Lianru Gao:
Orthogonal polynomial function fitting for hyperspectral data representation and discrimination. Pattern Recognit. Lett. 83: 160-168 (2016) - [j23]Haoyang Yu, Lianru Gao, Jun Li, Shan Shan Li, Bing Zhang, Jón Atli Benediktsson:
Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields. Remote. Sens. 8(4): 355 (2016) - [j22]Lianru Gao, Lina Zhuang, Yuanfeng Wu, Xu Sun, Bing Zhang:
A quantitative and comparative analysis of different preprocessing implementations of DPSO: a robust endmember extraction algorithm. Soft Comput. 20(12): 4669-4683 (2016) - [j21]Wenfei Luo, Lianru Gao, Antonio Plaza, Andrea Marinoni, Bin Yang, Liang Zhong, Paolo Gamba, Bing Zhang:
A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5776-5790 (2016) - [j20]Yuanfeng Wu, Xinghua Yang, Antonio Plaza, Fei Qiao, Lianru Gao, Bing Zhang, Yabo Cui:
Approximate Computing of Remotely Sensed Data: SVM Hyperspectral Image Classification as a Case Study. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5806-5818 (2016) - [c31]Liang Zhong, Wenfei Luo, Lianru Gao:
A particle swarm optimization algorithm for unmixing the polynomial post-nonlinear mixing model. CISP-BMEI 2016: 596-600 - [c30]Liang Zhong, Wenfei Luo, Lianru Gao:
Particle swarm optimization for nonlinear spectral unmixing: A case study of generalized bilinear model. ICNC-FSKD 2016: 211-217 - [c29]Bin Zhao, Lianru Gao, Bing Zhang:
An optimized method of kernel minimum noise fraction for dimensionality reduction of hyperspectral imagery. IGARSS 2016: 48-51 - [c28]Haoyang Yu, Lianru Gao, Jun Li, Bing Zhang:
Spectral-spatial classification based on subspace support vector machine and Markov random field. IGARSS 2016: 2783-2786 - [c27]Qiandong Guo, Ruiliang Pu, Bing Zhang, Lianru Gao:
A comparative study of coastline changes at Tampa Bay and Xiangshan Harbor during the last 30 years. IGARSS 2016: 5185-5188 - [c26]Jianwei Gao, Zhengchao Chen, Lianru Gao, Bing Zhang:
GPU implementation of ant colony optimization-based band selections for hyperspectral data classification. WHISPERS 2016: 1-4 - [c25]Yuanchao Su, Xu Sun, Lianru Gao, Jun Li, Bing Zhang:
Improved discrete swarm intelligence algorithms for endmember extraction in hyperspectral remote sensing image. WHISPERS 2016: 1-4 - 2015
- [j19]Lianru Gao, Jun Li, Mahdi Khodadadzadeh, Antonio J. Plaza, Bing Zhang, Zhijian He, Huiming Yan:
Subspace-Based Support Vector Machines for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 12(2): 349-353 (2015) - [j18]Lianru Gao, Bin Yang, Qian Du, Bing Zhang:
Adjusted Spectral Matched Filter for Target Detection in Hyperspectral Imagery. Remote. Sens. 7(6): 6611-6634 (2015) - [j17]Xu Sun, Lina Yang, Bing Zhang, Lianru Gao, Jianwei Gao:
An Endmember Extraction Method Based on Artificial Bee Colony Algorithms for Hyperspectral Remote Sensing Images. Remote. Sens. 7(12): 16363-16383 (2015) - [j16]Lianru Gao, Jianwei Gao, Jun Li, Antonio Plaza, Lina Zhuang, Xu Sun, Bing Zhang:
Multiple Algorithm Integration Based on Ant Colony Optimization for Endmember Extraction From Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2569-2582 (2015) - [j15]Lina Zhuang, Bing Zhang, Lianru Gao, Jun Li, Antonio Plaza:
Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2598-2606 (2015) - [j14]Bin Yang, Minhua Yang, Antonio Plaza, Lianru Gao, Bing Zhang:
Dual-Mode FPGA Implementation of Target and Anomaly Detection Algorithms for Real-Time Hyperspectral Imaging. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2950-2961 (2015) - [c24]Cong Li, Lianru Gao, Antonio Plaza, Bing Zhang:
FPGA implementation of a maximum volume algorithm for endmember extraction from hyperspectral imagery. WHISPERS 2015: 1-4 - [c23]Qingting Li, Lianru Gao, Wenjuan Zhang, Bing Zhang:
Requirements and optimization of sensor parameters for mineral extraction. WHISPERS 2015: 1-4 - [c22]Liwei Li, Bing Zhang, Lianru Gao:
An empirical study of urban mapping in a chain approach. WHISPERS 2015: 1-4 - [c21]Li Ni, Hua Wu, Bing Zhang, Wenjuan Zhang, Lianru Gao:
Improvement of linear spectral emissivity constraint method for temperature and emissivity separation of hyperspectral thermal infrared data. WHISPERS 2015: 1-4 - [c20]Xu Sun, Feifei Zhang, Lina Yang, Bing Zhang, Lianru Gao:
A hyperspectral image spectral unmixing method integrating slic superpixel segmentation. WHISPERS 2015: 1-4 - [c19]Bing Zhang, Lianru Gao, Xu Sun, Lina Zhuang:
Swarm intelligence: A reliable solution for extracting endmembers from hyperspectral imagery. WHISPERS 2015: 1-4 - 2014
- [j13]Qiandong Guo, Bing Zhang, Qiong Ran, Lianru Gao, Jun Li, Antonio Plaza:
Weighted-RXD and Linear Filter-Based RXD: Improving Background Statistics Estimation for Anomaly Detection in Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2351-2366 (2014) - [j12]Bing Zhang, Yao Liu, Wenjuan Zhang, Lianru Gao, Jun Li, Jun Wang, Xia Li:
Analysis of the Proportion of Surface Reflected Radiance in Mid-Infrared Absorption Bands. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2639-2646 (2014) - [j11]Bing Zhang, Lina Zhuang, Lianru Gao, Wenfei Luo, Qiong Ran, Qian Du:
PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model. IEEE Trans. Geosci. Remote. Sens. 52(12): 7782-7792 (2014) - [c18]Qingting Li, Bing Zhang, Lianru Gao, Linlin Lu, Quanjun Jiao:
The identification of altered rock in vegetation-covered area using hyperspectral remote sensing. IGARSS 2014: 2910-2913 - [c17]Li Ni, Bing Zhang, Qian Shen, Lianru Gao, Xu Sun, Shanshan Li, Hua Wu:
Edge constrained MRF method for classification of hyperspectral imagery. WHISPERS 2014: 1-4 - [c16]Qian Shen, Li Ni, Xu Sun, Lianru Gao, Bing Zhang:
Optical classification of optically complex waters around China. WHISPERS 2014: 1-4 - 2013
- [j10]Lianru Gao, Bing Zhang, Xu Sun, Shanshan Li, Qian Du, Changshan Wu:
Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data. EURASIP J. Adv. Signal Process. 2013: 65 (2013) - [j9]Shanshan Li, Bing Zhang, An Li, Xiuping Jia, Lianru Gao, Man Peng:
Hyperspectral Imagery Clustering With Neighborhood Constraints. IEEE Geosci. Remote. Sens. Lett. 10(3): 588-592 (2013) - [j8]Lianru Gao, Qian Du, Bing Zhang, Wei Yang, Yuanfeng Wu:
A Comparative Study on Linear Regression-Based Noise Estimation for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 488-498 (2013) - [j7]Bing Zhang, Jianwei Gao, Lianru Gao, Xu Sun:
Improvements in the Ant Colony Optimization Algorithm for Endmember Extraction From Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 522-530 (2013) - [c15]Jianwei Gao, Qian Du, Lianru Gao, Xu Sun, Yuanfeng Wu, Bing Zhang:
Ant colony optimization for supervised and unsupervised hyperspectral band selection. WHISPERS 2013: 1-4 - [c14]Lina Zhuang, Lianru Gao, Li Ni, Bing Zhang:
An improved Expectation Maximization algorithm for hyperspectral image classification. WHISPERS 2013: 1-4 - 2012
- [j6]Bing Zhang, Wei Yang, Lianru Gao, Dongmei Chen:
Real-time target detection in hyperspectral images based on spatial-spectral information extraction. EURASIP J. Adv. Signal Process. 2012: 142 (2012) - [c13]Lianru Gao, Qian Du, Wei Yang, Bing Zhang:
A comparative study on noise estimation for hyperspectral imagery. WHISPERS 2012: 1-4 - [c12]Jianwei Gao, Lianru Gao, Xu Sun, Yuanfeng Wu, Bing Zhang:
GPU implementation of Ant Colony Optimization algorithm for endmember extraction from hyperspectral image. WHISPERS 2012: 1-4 - 2011
- [j5]Bing Zhang, Shanshan Li, Xiuping Jia, Lianru Gao, Man Peng:
Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 8(5): 973-977 (2011) - [j4]Bing Zhang, Xun Sun, Lianru Gao, Lina Yang:
Endmember Extraction of Hyperspectral Remote Sensing Images Based on the Ant Colony Optimization (ACO) Algorithm. IEEE Trans. Geosci. Remote. Sens. 49(7): 2635-2646 (2011) - [j3]Bing Zhang, Xun Sun, Lianru Gao, Lina Yang:
Endmember Extraction of Hyperspectral Remote Sensing Images Based on the Discrete Particle Swarm Optimization Algorithm. IEEE Trans. Geosci. Remote. Sens. 49(11): 4173-4176 (2011) - [c11]Liwei Li, Bing Zhang, Liping Lei, Lianru Gao, Dailiang Peng, Yanhong Wu, Jianwen Ma:
Rapid detection of collapsed built-up structures using postevent VHR in earthquake-affected areas. IGARSS 2011: 1870-1873 - [c10]Lianru Gao, Bing Zhang, Zhengchao Chen, Liping Lei:
Study on the issue of noise estimation in dimension reduction of hyperspectral images. WHISPERS 2011: 1-4
2000 – 2009
- 2009
- [j2]Xiang Liu, Bing Zhang, Lianru Gao, Dongmei Chen:
A maximum noise fraction transform with improved noise estimation for hyperspectral images. Sci. China Ser. F Inf. Sci. 52(9): 1578-1587 (2009) - [c9]Shanshan Li, Bing Zhang, Lianru Gao, Liang Zhang:
Classification of Coastal Zone based on Decision Tree and PPI. IGARSS (4) 2009: 188-191 - [c8]Bing Zhang, Zhengchao Chen, Junsheng Li, Lianru Gao:
Image Quality Evaluation on Chinese First Earth Observation Hyperspectral Satellite. IGARSS (1) 2009: 188-191 - [c7]Bing Zhang, Zhengchao Chen, Junsheng Li, Lianru Gao:
A Polarimetric Sea Surface Backscattering Model. IGARSS (1) 2009: 192-195 - [c6]Lianru Gao, Qiong Ran, Bing Zhang, Yaobin Chi, Zhiyong Wang:
New Thoughts for Onboard Compression of Satellite Images. IGARSS (4) 2009: 478-481 - [c5]Xu Sun, Bing Zhang, Lianru Gao, Lina Yang:
A Study on Spectral Characteristics Extraction using Fourier Approximation Theory. IGARSS (3) 2009: 705-708 - [c4]Qiong Ran, Yaobin Chi, Zhiyong Wang, Lianru Gao:
Exposure Adjustment of Satellite Cameras. IGARSS (3) 2009: 857-860 - 2008
- [j1]Lianru Gao, Bing Zhang, Xia Zhang, Wenjuan Zhang, Qingxi Tong:
A New Operational Method for Estimating Noise in Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 5(1): 83-87 (2008) - 2005
- [c3]Xuan Li, Zhifeng Guo, Lianru Gao:
Cross-calibration of EO-1 MODIS to SZ-3 CMODIS using Dunhuang test site. IGARSS 2005: 3 - [c2]Xingling Wang, Gang Wang, Yan Guan, Quan Chen, Lianru Gao:
Small satellite constellation for disaster monitoring in China. IGARSS 2005: 3 - [c1]Lianru Gao, Bing Zhang, Xia Zhang, Junsheng Li:
Study on the spectral characteristics of building materials covered by different paint. IGARSS 2005: 3208-3211
Coauthor Index
Wenzi Liao
aka: Wenzhi Liao
aka: Wenzhi Liao
Antonio Plaza
aka: Antonio J. Plaza
aka: Antonio J. Plaza
[j147] [j146] [j145] [j142] [j139] [j138] [j136] [j135] [j134] [c66] [c65] [c63] [c62] [c61] [j128] [j126] [j124] [j123] [j121] [j120] [j119] [j118] [j116] [j115] [j112] [c57] [j111] [j105] [j92] [j91] [c56] [c53] [j77] [j73] [j72] [j51] [j46] [j44] [j43] [c38] [c35] [j22] [c25] [j17] [j16] [c20] [c19] [c17] [c16] [j10] [j7] [c15] [c12] [c5]
[j148] [j145] [j143] [j136] [j135] [j132] [j131] [c65] [j126] [j124] [j118] [j112] [j111] [j110] [j109] [j108] [j107] [j104] [j102] [j99] [j97] [j96] [j95] [j94] [j92] [j91] [j89] [j88] [j87] [j86] [c55] [i12] [i11] [j85] [j82] [j81] [j80] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [c51] [c49] [c47] [c46] [i9] [i8] [i7] [i6] [j68] [j67] [j62] [j61] [j60] [j59] [c43] [i5] [i4] [i3] [i2] [j58] [j56] [j55] [j54] [j53] [j50] [j49] [j48] [j47] [j45] [j44] [c41] [j42] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [c40] [c39] [c38] [c37] [c36] [c35] [j30] [j29] [j28] [j27] [j26] [c34] [c33] [c32] [j25] [j24] [j23] [j22] [j21] [j20] [c29] [c28] [c27] [c26] [c25] [j19] [j18] [j17] [j16] [j15] [j14] [c24] [c23] [c22] [c21] [c20] [c19] [j13] [j12] [j11] [c18] [c17] [c16] [j10] [j9] [j8] [j7] [c15] [c14] [j6] [c13] [c12] [j5] [j4] [j3] [c11] [c10] [j2] [c9] [c8] [c7] [c6] [c5] [j1] [c1]
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