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Compressed Spectrum Reconstruction Method Based on Coding Feature Vector Enhancement 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2024, 卷号: 62, 页码: 1-16
作者:  Cao, Chipeng;  Li, Jie;  Wang, Pan;  Qi, Chun
Adobe PDF(5920Kb)  |  收藏  |  浏览/下载：57/0  |  提交时间：2024/02/07
Compressed spectral imaging  encoding feature reconstruction  prior spectral data  vector enhancement  
Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2024, 卷号: 62, 页码: 1-15
作者:  Xu, Shufang;  Geng, Sijie;  Xu, Pengfei;  Chen, Zhonghao;  Gao, Hongmin
Adobe PDF(4399Kb)  |  收藏  |  浏览/下载：25/0  |  提交时间：2024/08/15
Attention mechanism  deep learning (DL)  graph neural network (GNN)  hyperspectral target detection(HTD)  sparse subspace clustering (SSC)  
Hyperspectral Image Reconstruction of SD-CASSI Based on Nonlocal Low-Rank Tensor Prior 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2024, 卷号: 62, 页码: 1-15
作者:  Yin, Xiaorui;  Su, Lijuan;  Chen, Xin;  Liu, Hejian;  Yan, Qiangqiang;  Yuan, Yan
Adobe PDF(3008Kb)  |  收藏  |  浏览/下载：8/0  |  提交时间：2024/09/02
Hyperspectral images (HSIs)  nonlocal low-rank tensor (NLRT)  single disperser coded aperture snapshot spectral imaging (SD-CASSI)  two-step projection model  
Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2023, 卷号: 61
作者:  Qiu, Shi;  Ye, Huping;  Liao, Xiaohan
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：125/0  |  提交时间：2023/11/10
3-D convolutional neural network (CNN)  depth characteristic  hyperspectrum  multilevel  remote sensing  squeeze and excitation network (SENet)  
Cross-Attention Spectral-Spatial Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 60
作者:  Yang, Kai;  Sun, Hao;  Zou, Chunbo;  Lu, Xiaoqiang
Adobe PDF(3919Kb)  |  收藏  |  浏览/下载：220/2  |  提交时间：2022/01/25
Hyperspectral image classification  convolutional neural networks  spectral attention  spatial attention  
Spectral-Spatial 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：203/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
Multisource Remote Sensing Data Classification With Graph Fusion Network 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2021
作者:  Du, Xingqian;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Doudkin, Alexander A.
Adobe PDF(3121Kb)  |  收藏  |  浏览/下载：259/0  |  提交时间：2021/02/08
Classification  deep learning  hyperspectral image (HSI)  light detection and ranging (LiDAR)  remote sensing  
Spectral-Spatial Attention Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 5, 页码: 3232-3245
作者:  Sun, Hao;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Wu, Siyuan
Adobe PDF(3278Kb)  |  收藏  |  浏览/下载：396/3  |  提交时间：2020/05/20
Attention  convolutional neural network (CNN)  hyperspectral image (HSI) classification  spectral–spatial feature extraction  
Multisource Compensation Network for Remote Sensing Cross-Domain Scene Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 4, 页码: 2504-2515
作者:  Lu, Xiaoqiang;  Gong, Tengfei;  Zheng, Xiangtao
Adobe PDF(2825Kb)  |  收藏  |  浏览/下载：290/3  |  提交时间：2020/04/23
Cross-domain scene classification  domain adaptation  multisource compensation  remote sensing scene classification  
Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 3, 页码: 1527-1537
作者:  Lu, Xiaoqiang;  Zhang, Wuxia;  Huang, Ju
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：211/2  |  提交时间：2020/03/23
Autoencoder (AE)  global reconstruction  hyperspectral imagery (HSI)  hyperspetral anomaly detection  local reconstruction  manifold learning