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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：122/0  |  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  
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：174/2  |  提交时间：2022/01/25
Hyperspectral image classification  convolutional neural networks  spectral attention  spatial attention  
Rotation-Invariant Attention Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 4251-4265
作者:  Zheng, Xiangtao;  Sun, Hao;  Lu, Xiaoqiang;  Xie, Wei
Adobe PDF(3409Kb)  |  收藏  |  浏览/下载：145/0  |  提交时间：2022/07/21
Hyperspectral image classification  convolutional neural network  rotation-invariant network  spectralspatial feature extraction  attention mechanism  
Hyperspectral image super-resolution with self-supervised spectral-spatial residual network 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 7
作者:  Chen, Wenjing;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(2974Kb)  |  收藏  |  浏览/下载：174/0  |  提交时间：2021/04/21
hyperspectral image super-resolution  data fusion  spectral-spatial residual network  multispectral image  self-supervised training  
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：161/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
Deep balanced discrete hashing for image retrieval 期刊论文
Neurocomputing, 2020, 卷号: 403, 页码: 224-236
作者:  Zheng, Xiangtao;  Zhang, Yichao;  Lu, Xiaoqiang
Adobe PDF(2896Kb)  |  收藏  |  浏览/下载：283/2  |  提交时间：2020/06/02
Image retrieval  Convolutional neural network  Balance controling  Discrete hashing  
Subspace Clustering Constrained Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 5, 页码: 3007-3019
作者:  Lu, Xiaoqiang;  Dong, Le;  Yuan, Yuan
Adobe PDF(2036Kb)  |  收藏  |  浏览/下载：190/2  |  提交时间：2020/05/20
Hyperspectral unmixing  self-expression  spatial structure  subspace clustering  
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：346/3  |  提交时间：2020/05/20
Attention  convolutional neural network (CNN)  hyperspectral image (HSI) classification  spectral–spatial feature extraction  
Unregistered Hyperspectral and Multispectral Image Fusion with Synchronous Nonnegative Matrix Factorization 会议论文
Pattern Recognition and Computer Vision - 3rd Chinese Conference, PRCV 2020, Proceedings, Nanjing, China, 2020-10-16
作者:  Chen, Wenjing;  Lu, Xiaoqiang
Adobe PDF(4080Kb)  |  收藏  |  浏览/下载：117/0  |  提交时间：2020/11/09
Image fusion  Nonnegative matrix factorization  Hyperspectral image  Multispectral image  
A Coarse-to-Fine Semi-Supervised Change Detection for Multispectral Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 6, 页码: 3587-3599
作者:  Zhang, Wuxia;  Lu, Xiaoqiang;  Li, Xuelong;  Lu, XQ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(3641Kb)  |  收藏  |  浏览/下载：243/1  |  提交时间：2018/06/28
Change Detection  Keep It Simple And Straight-forward (Kiss) Metric Learning  Multiscale Feature  Multispectral Imagery  Semi-supervised Learning