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Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:  Mou, Lichao;  Lu, Xiaoqiang;  Li, Xuelong;  Zhu, Xiao Xiang
Adobe PDF(10395Kb)  |  收藏  |  浏览/下载：297/0  |  提交时间：2020/12/21
Hyperspectral imaging  Convolution  Task analysis  Recurrent neural networks  Semisupervised learning  Support vector machines  Graph convolutional network (GCN)  hyperspectral image classification  nonlocal graph  semisupervised learning  
Supervised deep hashing with a joint deep network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：224/3  |  提交时间：2020/07/20
Image retrieval  Supervised hashing  CNN  RNN  Deep learning  
Bidirectional adaptive feature fusion for remote sensing scene classification 期刊论文
NEUROCOMPUTING, 2019, 卷号: 328, 期号: SI, 页码: 135-146
作者:  Lu, Xiaoqiang;  Ji, Weijun;  Li, Xuelong;  Zheng, Xiangtao
Adobe PDF(3917Kb)  |  收藏  |  浏览/下载：235/4  |  提交时间：2019/03/14
Bidirectional adaptive feature fusion  High spatial resolution remote Sensing images  Scene classification  
HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization 会议论文
Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, United states, 2018-06-18
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(803Kb)  |  收藏  |  浏览/下载：214/2  |  提交时间：2019/04/16
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：270/1  |  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