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Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Ding, Kun;  He, Guojin;  Gu, Huxiang;  Zhong, Zisha;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：211/0  |  提交时间：2022/02/16
Convolution  Head  Training  Testing  Object detection  Feature extraction  Real-time systems  Aerial images  object detection  sparse convolution  spatial sparsity  
Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 8, 页码: 1660-1664
作者:  Li, Haichang;  Xiang, Shiming;  Zhong, Zisha;  Ding, Kun;  Pan, Chunhong;  haichang516@gmail.com
Adobe PDF(526Kb)  |  收藏  |  浏览/下载：278/55  |  提交时间：2015/09/17
Clustering  Feature Selection  Hyperspectral  Spatial-spectral  
Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 5, 页码: 1028-1032
作者:  Zhong, Zisha;  Fan, Bin;  Duan, Jiangyong;  Wang, Lingfeng;  Ding, Kun;  Xiang, Shiming;  Pan, Chunhong;  zszhong@nlpr.ia.ac.cn
Adobe PDF(789Kb)  |  收藏  |  浏览/下载：426/129  |  提交时间：2015/09/21
Discriminative Tensor Representation  Hyperspectral Classification  Spectral-spatial Feature Extraction