SAR target detection based on the optimal fractional Gabor spectrum feature

doi:10.1016/j.jnlest.2023.100197

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	SAR target detection based on the optimal fractional Gabor spectrum feature
	L.-B. Peng, Y.-Q. Wang, Y.-P. Chen and Z.-M. Peng
刊名	Journal of Electronic Science and Technology
	2023
卷号	21 期号:2
ISSN号	1674862X
DOI	10.1016/j.jnlest.2023.100197
英文摘要	In this paper, an algorithm based on fractional time-frequency spectrum feature is proposed to improve the accuracy of synthetic aperture radar (SAR) target detection. By extending fractional Gabor transform (FrGT) into two dimensions, the fractional time-frequency spectrum feature of an image can be obtained. In the achievement process, we search for the optimal order and design the optimal window function to accomplish the two-dimensional optimal FrGT. Finally, the energy attenuation gradient (EAG) feature of the optimal time-frequency spectrum is extracted for high-frequency detection. The simulation results show that the proposed algorithm has a good performance in SAR target detection and lays the foundation for recognition. © 2023 The Authors
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67788]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	L.-B. Peng, Y.-Q. Wang, Y.-P. Chen and Z.-M. Peng. SAR target detection based on the optimal fractional Gabor spectrum feature[J]. Journal of Electronic Science and Technology,2023,21(2).
APA	L.-B. Peng, Y.-Q. Wang, Y.-P. Chen and Z.-M. Peng.(2023).SAR target detection based on the optimal fractional Gabor spectrum feature.Journal of Electronic Science and Technology,21(2).
MLA	L.-B. Peng, Y.-Q. Wang, Y.-P. Chen and Z.-M. Peng."SAR target detection based on the optimal fractional Gabor spectrum feature".Journal of Electronic Science and Technology 21.2(2023).