A kernel-based moving target detection method in sequential SAR images

Weijia Zhang; Yun Wang; Hongcheng Zeng; Wei Yang; Yamin Wang

doi:10.1117/12.3023158

28 March 2024 A kernel-based moving target detection method in sequential SAR images

Weijia Zhang, Yun Wang, Hongcheng Zeng, Wei Yang, Yamin Wang

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130911K (2024) https://doi.org/10.1117/12.3023158
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

In recent years, the demand for target detection in Synthetic Aperture Radar (SAR) under low signal-to-noise ratio conditions is increasing. To improve the ability to detect weak moving targets, this paper proposes a moving target detection method based on quadratic rational kernel function for sequential SAR images. This paper begins by presenting background information on weak moving target detection, followed by the simulation model for sequential SAR images and the specific process for detecting moving target in those sequential images using kernel trick. Finally, numerical experiments on detecting moving target in sequential SAR Images are carried out, and those results demonstrate that the effectiveness of the proposed method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Weijia Zhang, Yun Wang, Hongcheng Zeng, Wei Yang, and Yamin Wang "A kernel-based moving target detection method in sequential SAR images", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130911K (28 March 2024); https://doi.org/10.1117/12.3023158

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