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ORCIDBing Zhang 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- affiliation (PhD): Chinese Academy of Sciences, Institute of Remote Sensing Applications, Beijing, China
Other persons with the same name
- Bing Zhang — disambiguation page
- Bing Zhang 0002 — National Institute of Information and Communications Technology (NICT), Wireless Network Research Institute, Kyoto, Japan
- Bing Zhang 0003
![[0000-0001-8676-2425]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8676-2425")
— Baylor College of Medicine, Houston, TX, USA (and 1 more) - Bing Zhang 0004 — Raytheon BBN Technologies
- Bing Zhang 0005 — Kansai Advanced Research Center, Communications Research Laboratory
- Bing Zhang 0006 — Shandong Water Polytechnic
- Bing Zhang 0007 — CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics
- Bing Zhang 0008 — National Computer Network Emergency Response Technical Team, Coordination Center of China
- Bing Zhang 0009 — National Engineering Laboratory for Offshore Oil Exploration, Wave and Information Institute, Xi'an Jiao Tong University
- Bing Zhang 0010 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Bing Zhang 0011 — Yanshan University, College of Information Science and Engineering, Qinhuangdao, China
- Bing Zhang 0012 — Nanjing University Medical School Affiliated Drum Tower Hospital, Department of Radiology, China
- Bing Zhang 0013 — Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China
- Bing Zhang 0014 — Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more)
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2020 – today
- 2023
[j159]Jing Guo, Longhui Lu, Yingying Dong, Wenjiang Huang, Bing Zhang, Bobo Du, Chao Ding, Huichun Ye, Kun Wang, Yanru Huang, Zhuoqing Hao, Mingxian Zhao, Ning Wang:
Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China. Remote. Sens. 15(3): 866 (2023)- [j158]Lingyu Sha, Wenjuan Zhang, Bing Zhang, Zhiqiang Liu, Zhen Li:
Spectral Mixing Theory-Based Double-Branch Network for Spectral Super-Resolution. Remote. Sens. 15(5): 1308 (2023) - [j157]Xiaotong Sun, Bing Zhang, Lina Zhuang, Hongmin Gao, Xu Sun, Li Ni:
Anomaly Detection Based on Tree Topology for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1985-2008 (2023) - [j156]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) - 2022
- [j155]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) - [j154]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) - [j153]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) - [j152]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) - [j151]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) - [j150]Ruyi Yu, Shanshan Li, Bing Zhang, Hongqun Zhang:
A Deep Transfer Learning Method for Estimating Fractional Vegetation Cover of Sentinel-2 Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j149]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) - [j148]Quanjun Jiao, Qi Sun, Bing Zhang, Wenjiang Huang, Huichun Ye, Zhaoming Zhang, Xiao Zhang, Binxiang Qian:
A Random Forest Algorithm for Retrieving Canopy Chlorophyll Content of Wheat and Soybean Trained with PROSAIL Simulations Using Adjusted Average Leaf Angle. Remote. Sens. 14(1): 98 (2022) - [j147]Shengwei Liu, Dailiang Peng, Bing Zhang, Zhengchao Chen, Le Yu, Junjie Chen, Yuhao Pan, Shijun Zheng, Jinkang Hu, Zihang Lou, Yue Chen, Songlin Yang:
The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing. Remote. Sens. 14(4): 893 (2022) - [j146]Xuan Yang, Zhengchao Chen, Bing Zhang, Baipeng Li, Yongqing Bai, Pan Chen:
A Block Shuffle Network with Superpixel Optimization for Landsat Image Semantic Segmentation. Remote. Sens. 14(6): 1432 (2022) - [j145]Shanjing Chen, Wenjuan Zhang, Zhen Li, Yuxi Wang, Bing Zhang:
Cloud Removal with SAR-Optical Data Fusion and Graph-Based Feature Aggregation Network. Remote. Sens. 14(14): 3374 (2022) - [j144]Xuan Yang, Bing Zhang, Zhengchao Chen, Yongqing Bai, Pan Chen:
A Multi-Temporal Network for Improving Semantic Segmentation of Large-Scale Landsat Imagery. Remote. Sens. 14(19): 5062 (2022) - [j143]Pan Chen, Cong Li, Bing Zhang, Zhengchao Chen, Xuan Yang, Kaixuan Lu, Lina Zhuang:
A Region-Based Feature Fusion Network for VHR Image Change Detection. Remote. Sens. 14(21): 5577 (2022) - [j142]Hao Zhang, Dongchuan Yan, Bing Zhang, Zhengwen Fu, Baipeng Li, Shuning Zhang:
An Operational Atmospheric Correction Framework for Multi-Source Medium-High-Resolution Remote Sensing Data of China. Remote. Sens. 14(21): 5590 (2022) - [j141]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) - [j140]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) - [j139]Zhonghao Chen, Zhengtao Lu, Hongmin Gao, Yiyan Zhang, Jia Zhao, Danfeng Hong, Bing Zhang:
Global to Local: A Hierarchical Detection Algorithm for Hyperspectral Image Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j138]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) - [j137]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) - [j136]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) - [j135]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) - [j134]Wei Li, Junjie Wang, Yunhao Gao, Mengmeng Zhang, Ran Tao, Bing Zhang:
Graph-Feature-Enhanced Selective Assignment Network for Hyperspectral and Multispectral Data Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j133]Yao Liu, Junsheng Li, Chenchao Xiao, Fangfang Zhang, Shenglei Wang, Ziyao Yin, Chao Wang, Bing Zhang:
A Classification-Based, Semianalytical Approach for Estimating Water Clarity From a Hyperspectral Sensor Onboard the ZY1-02D Satellite. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j132]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) - [j131]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) - [j130]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) - [j129]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) - [j128]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) - [j127]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) - [c85]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing via Attention Networks. IGARSS 2022: 1784-1787 - [i14]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) - [i13]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
- [j126]Ziyao Yin, Junsheng Li, Yao Liu, Ya Xie, Fangfang Zhang, Shenglei Wang, Xiao Sun, Bing Zhang:
Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations. Int. J. Appl. Earth Obs. Geoinformation 102: 102457 (2021) - [j125]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) - [j124]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) - [j123]Deepakrishna Somasundaram, Fangfang Zhang, Sisira Ediriweera, Shenglei Wang, Ziyao Yin, Junsheng Li, Bing Zhang:
Patterns, Trends and Drivers of Water Transparency in Sri Lanka Using Landsat 8 Observations and Google Earth Engine. Remote. Sens. 13(11): 2193 (2021) - [j122]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) - [j121]Liwei Li, Jinming Zhu, Gang Cheng, Bing Zhang:
Detecting High-Rise Buildings from Sentinel-2 Data Based on Deep Learning Method. Remote. Sens. 13(20): 4073 (2021) - [j120]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) - [j119]Haoyang Yu, Xiao-Di Shang, Meiping Song, Jiaochan Hu, Tong Jiao, Qiandong Guo, Bing Zhang:
Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 553-566 (2021) - [j118]Qi Sun, Quanjun Jiao, Liangyun Liu, Xinjie Liu, Xiaojin Qian, Xiao Zhang, Bing Zhang:
Improving the Retrieval of Forest Canopy Chlorophyll Content From MERIS Dataset by Introducing the Vegetation Clumping Index. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5515-5528 (2021) - [j117]Haitao Zhao, Bing Zhang, Wenmin Hu, Jiangui Liu, Dong Li, Yalin Liu, Hong Yang, Jie Pan, Liuqing Xu:
Adaptable Flight Line Planning for Airborne Photogrammetry Using DEM. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6206-6218 (2021) - [j116]Qiong Ran, Zedong Liu, Xiaotong Sun, Xu Sun, Bing Zhang, Qiandong Guo, Jinnian Wang:
Anomaly Detection for Hyperspectral Images Based on Improved Low-Rank and Sparse Representation and Joint Gaussian Mixture Distribution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6339-6352 (2021) - [j115]Jiaochan Hu, Xueji Shen, Haoyang Yu, Xiao-Di Shang, Qiandong Guo, Bing Zhang:
Extended Subspace Projection Upon Sample Augmentation Based on Global Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8653-8664 (2021) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]Yun Cao, Jie Mei, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Bing Zhang, Lihua Li, Yibo Zheng:
SLCRF: Subspace Learning With Conditional Random Field for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4203-4217 (2021) - [j108]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) - [j107]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) - [j106]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) - [c84]Danfeng Hong, Xin Wu, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. IGARSS 2021: 282-285 - [c83]Zhu Han, Danfeng Hong, Lianru Gao, Jocelyn Chanussot, Bing Zhang:
EvoNAS: Evolvable Neural Architecture Search for Hyperspectral Unmixing. IGARSS 2021: 3325-3328 - [c82]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 - [c81]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 - [i12]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) - [i11]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) - [i10]Xuan Yang, Shanshan Li, Zhengchao Chen, Jocelyn Chanussot, Xiuping Jia, Bing Zhang, Baipeng Li, Pan Chen:
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery. CoRR abs/2105.04132 (2021) - [i9]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) - [i8]Pan Chen, Danfeng Hong, Zhengchao Chen, Xuan Yang, Baipeng Li, Bing Zhang:
FCCDN: Feature Constraint Network for VHR Image Change Detection. CoRR abs/2105.10860 (2021) - [i7]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
- [j105]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) - [j104]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) - [j103]Hao Zhang, Bing Zhang, Zhiqi Wei, Chenze Wang, Qiao Huang:
Lightweight Integrated Solution for a UAV-Borne Hyperspectral Imaging System. Remote. Sens. 12(4): 657 (2020) - [j102]Qingting Li, Zhengchao Chen, Bing Zhang, Baipeng Li, Kaixuan Lu, Linlin Lu, Huadong Guo:
Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing-Jin-Ji Region, China. Remote. Sens. 12(16): 2626 (2020) - [j101]Deepakrishna Somasundaram, Fangfang Zhang, Sisira Ediriweera, Shenglei Wang, Junsheng Li, Bing Zhang:
Spatial and Temporal Changes in Surface Water Area of Sri Lanka over a 30-Year Period. Remote. Sens. 12(22): 3701 (2020) - [j100]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) - [j99]Min Gao, Junsheng Li, Fangfang Zhang, Shenglei Wang, Ya Xie, Ziyao Yin, Bing Zhang:
Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards. Sensors 20(22): 6580 (2020) - [j98]Linan Guo, Hongxing Zheng, Yanhong Wu, Tianqi Zhang, Mengxuan Wen, Lanxin Fan, Bing Zhang:
Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3856-3861 (2020) - [j97]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) - [j96]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) - [j95]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) - [j94]Li Liu, Yuebin Wang, Junhuan Peng, Liqiang Zhang, Bing Zhang, Yun Cao:
Latent Relationship Guided Stacked Sparse Autoencoder for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3711-3725 (2020) - [c80]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 - [i6]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) - [i5]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) - [i4]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. CoRR abs/2008.02457 (2020) - [i3]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) - [i2]Yun Cao, Jie Mei, Yuebin Wang, Liqiang Zhang, Junhuan Peng, Bing Zhang, Lihua Li, Yibo Zheng:
SLCRF: Subspace Learning with Conditional Random Field for Hyperspectral Image Classification. CoRR abs/2010.03115 (2020)
2010 – 2019
- 2019
- [j93]Fangfang Zhang, Junsheng Li, Qian Shen, Bing Zhang, Liqiao Tian, Huping Ye, Shenglei Wang, Zhaoyi Lu:
A soft-classification-based chlorophyll-a estimation method using MERIS data in the highly turbid and eutrophic Taihu Lake. Int. J. Appl. Earth Obs. Geoinformation 74: 138-149 (2019) - [j92]Linqi Zhang, Qiao He, Tao Zhou, Bing Zhang, Wei Li, Hao Peng, Xi Zhong, Liwu Ma, Rusen Zhang:
Accurate characterization of 99mTc-MDP uptake in extraosseous neoplasm mimicking bone metastasis on whole-body bone scan: contribution of SPECT/CT. BMC Medical Imaging 19(1): 44:1-44:9 (2019) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]Bing Zhang, Zhengchao Chen, Dailiang Peng, Jón Atli Benediktsson, Bo Liu, Lei Zou, Jun Li, Antonio Plaza:
Remotely sensed big data: evolution in model development for information extraction [point of view]. Proc. IEEE 107(12): 2294-2301 (2019) - [j85]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) - [j84]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) - [j83]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) - [j82]Junsheng Li, Ziyao Yin, Zhaoyi Lu, Yuntao Ye, Fangfang Zhang, Qian Shen, Bing Zhang:
Regional Vicarious Calibration of the SWIR-Based Atmospheric Correction Approach for MODIS-Aqua Measurements of Highly Turbid Inland Water. Remote. Sens. 11(14): 1670 (2019) - [j81]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) - [j80]Dailiang Peng, Helin Zhang, Liangyun Liu, Wenjiang Huang, Alfredo R. Huete, Xiaoyang Zhang, Fumin Wang, Le Yu, Qiaoyun Xie, Cheng Wang, Shezhou Luo, Cunjun Li, Bing Zhang:
Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables. Remote. Sens. 11(19): 2270 (2019) - [j79]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) - [j78]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) - [j77]Junsheng Li, Min Gao, Lian Feng, Hongli Zhao, Qian Shen, Fangfang Zhang, Shenglei Wang, Bing Zhang:
Estimation of Chlorophyll-a Concentrations in a Highly Turbid Eutrophic Lake Using a Classification-Based MODIS Land-Band Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(10): 3769-3783 (2019) - [j76]