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A Novel NMF Guided for Hyperspectral Unmixing From Incomplete and Noisy Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Dong, Le;  Lu, Xiaoqiang;  Liu, Ganchao;  Yuan, Yuan
Adobe PDF(9737Kb)  |  收藏  |  浏览/下载：118/0  |  提交时间：2022/01/18
Image reconstruction  Hyperspectral imaging  Noise measurement  Gaussian noise  Interference  Stability analysis  Sensors  Hyperspectral unmixing (HU)  image reconstruction  nonnegative matrix factorization (NMF)  spatial-spectral information  
Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yuan, Yuan;  Dong, Le;  Li, Xuelong
Adobe PDF(5662Kb)  |  收藏  |  浏览/下载：206/0  |  提交时间：2022/01/18
Tensors  TV  Hyperspectral imaging  Data models  Task analysis  Optimization  Data mining  Hyperspectral unmixing  low tensor rank  nonlocal similarity  nonnegative tensor factorization (NTF)  
SpectralSpatial Joint Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 3, 页码: 2391-2402
作者:  Dong, Le;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：175/0  |  提交时间：2021/04/19
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8358-8371
作者:  Zhang, Yuanlin;  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(5153Kb)  |  收藏  |  浏览/下载：157/0  |  提交时间：2020/12/21
Feature extraction  Task analysis  Convolutional neural networks  Remote sensing  Visualization  Semantics  Manuals  Attribute learning  convolutional neural networks (CNNs)  relationship learning  remote sensing image (RSI) classification  
Deep Cross-Modal ImageVoice Retrieval in Remote Sensing 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 10, 页码: 7049-7061
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Wang, Shuai
Adobe PDF(3711Kb)  |  收藏  |  浏览/下载：157/1  |  提交时间：2020/10/30
Remote sensing  Convolution  Quantization (signal)  Image retrieval  Deep learning  Convolutional codes  Hamming distance  Cross-modal remote sensing image-voice retrieval  deep features' similarity  deep hash codes  quantization error  
Remote Sensing Scene Classification by Gated Bidirectional Network 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 1, 页码: 82-96
作者:  Sun, Hao;  Li, Siyuan;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(5526Kb)  |  收藏  |  浏览/下载：211/2  |  提交时间：2020/04/14
Feature extraction  Nonhomogeneous media  Logic gates  Aggregates  Encoding  Interference  Task analysis  Feature aggregation  remote sensing (RS) image  scene classification  
A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 10, 页码: 7894-7906
作者:  Lu, Xiaoqiang;  Sun, Hao;  Zheng, Xiangtao
Adobe PDF(6634Kb)  |  收藏  |  浏览/下载：228/5  |  提交时间：2019/11/01
Feature aggregation  remote sensing image  scene classification  
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 8, 页码: 5535-5548
作者:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  收藏  |  浏览/下载：345/3  |  提交时间：2019/08/13
Convolutional neural networks (CNNs)  hierarchical robust CNN (HRCNN)  hierarchical spatial semantic (HSS)  object detection  remote sensing images (RSIs)  rotation and scaling robust enhancement (RSRE)  
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 2, 页码: 911-923
作者:  Wang, Qi;  He, Xiang;  Li, Xuelong
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：213/0  |  提交时间：2019/03/14
Block-diagonal structure  hyperspectral image (HSI) classification  low-rank representation (LRR)  
GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 1, 页码: 3-13
作者:  Wang, Qi;  Yuan, Zhenghang;  Du, Qian;  Li, Xuelong
Adobe PDF(3597Kb)  |  收藏  |  浏览/下载：418/0  |  提交时间：2019/03/14
2-D convolutional neural network (CNN)  change detection (CD)  deep learning  hyperspectral image (HSI)  mixed-affinity matrix  spectral unmixing