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SAR target detection based on the optimal fractional Gabor spectrum feature

Ling-Bing Peng Yu-Qing Wang Ying-Pin Chen Zhen-Ming Peng

电子科技学刊2023，Vol.21Issue(2)：55-64,10.

电子科技学刊2023，Vol.21Issue(2)：55-64,10.DOI:10.1016/j.jnlest.2023.100197

SAR target detection based on the optimal fractional Gabor spectrum feature

Ling-Bing Peng ¹Yu-Qing Wang ²Ying-Pin Chen ³Zhen-Ming Peng⁴

作者信息

1. School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China||Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu,610209,China
2. Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun,130033,China
3. School of Mathematical Sciences,University of Electronic Science and Technology of China,Chengdu,611731,China||School of Physics and Information Engineering,Minnan Normal University,Zhangzhou,363000,China
4. School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China
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摘要

关键词

Optimal fractional Gabor transform(FrGT)/Optimal order/Synthetic aperture radar(SAR)target detection/Time-frequency spectrum analysis

Key words

Optimal fractional Gabor transform(FrGT)/Optimal order/Synthetic aperture radar(SAR)target detection/Time-frequency spectrum analysis

引用本文复制引用

Ling-Bing Peng,Yu-Qing Wang,Ying-Pin Chen,Zhen-Ming Peng..SAR target detection based on the optimal fractional Gabor spectrum feature[J].电子科技学刊,2023,21(2):55-64,10.

基金项目

This work was supported by the Natural Science Foundation of Sichuan Province of China under Grant No.2022NSFSC40574,and partially supported by the National Natural Science Foundation of China under Grants No.61571096 and No.61775030. （）

电子科技学刊

OACSCD

ISSN：1674-862X

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