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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：129/0  |  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：183/2  |  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：167/0  |  提交时间：2022/07/21
Hyperspectral image classification  convolutional neural network  rotation-invariant network  spectralspatial feature extraction  attention mechanism  
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：357/3  |  提交时间：2020/05/20
Attention  convolutional neural network (CNN)  hyperspectral image (HSI) classification  spectral–spatial feature extraction  
A deep hashing technique for remote sensing image-sound retrieval 期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 1
作者:  Chen, Yaxiong;  Lu, Xiaoqiang
Adobe PDF(4010Kb)  |  收藏  |  浏览/下载：172/3  |  提交时间：2020/03/12
cross-modal retrieval  deep hash codes  semantic similarity relationships  remote sensing  
Hyperspectral image classification based on joint spectrum of spatial space and spectral space 期刊论文
Multimedia Tools and Applications, 2018, 卷号: 77, 期号: 22, 页码: 29759-29777
作者:  Zhang, Xiaorong;  Pan, Zhibin;  Lu, Xiaoqiang;  Hu, Bingliang;  Zheng, Xi
Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：192/1  |  提交时间：2018/11/06
Classification  Hyperspectral Imagery  Spectral-spatial Fusion  Affine Transform  Feature Extraction  Probabilistic Fusion  
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：250/1  |  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  
A target detection method for hyperspectral image based on mixture noise model 期刊论文
NEUROCOMPUTING, 2016, 卷号: 216, 页码: 331-341
作者:  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang;  Lu, Xiaoqiang (luxq666666@gmail.com)
Adobe PDF(1951Kb)  |  收藏  |  浏览/下载：319/1  |  提交时间：2016/11/30
Hyperspectral Data  Subpixel  Target Detection  
A non-negative low-rank representation for hyperspectral band selection 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2016, 卷号: 37, 期号: 19, 页码: 4590-4609
作者:  Feng, Yachuang;  Yuan, Yuan;  Lu, Xiaoqiang;  Lu, Xiaoqiang (luxiaoqiang@opt.ac.cn)
Adobe PDF(4176Kb)  |  收藏  |  浏览/下载：249/4  |  提交时间：2016/10/25
Digital Storage  Image Processing  Independent Component Analysis  Mean Square Error  Spectroscopy  
Hyperspectral and LiDAR Representation with Spectral-Spatial Graph Network 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 页码: 1-14
作者:  Du, Xingqian;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Wang, Xin
Adobe PDF(8290Kb)  |  收藏  |  浏览/下载：35/0  |  提交时间：2023/11/10
Data fusion  graph neural network  multimodal data  remote sensing classification