Hyperspectral image classification via nonlocal joint kernel sparse representation based on local covariance

被引：0
|
作者：
Li, Dan [1 ,2 ]
Kong, Fanqiang [2 ]
Wang, Qiang [3 ]
机构：
[1] Key Laboratory of Space Photoelectric Detection and Perception (Nanjing University of Aeronautics and Astronautics), Ministry of Industry and Information Technology, No. 29 Yudao Street, Nanjing,210016, China
[2] Nanjing University of Aeronautics and Astronautics, College of Astronautics, No. 29 Yudao Street, Nanjing,210016, China
[3] Harbin Institute of Technology, Control Science and Engineering, No. 92 West Da-Zhi Street, Harbin,150001, China
来源：
Signal Processing | 2021年 / 180卷
基金：
中央高校基本科研业务费专项资金资助;
关键词：
Classification accuracy - Classification methods - Classification results - Linearly inseparable - Maximum noise fraction - Self similarity properties - Sparse representation - Spectral correlation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
71
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