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A Kernel-based Moving Target Detection Method in Sequential SAR Images

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationFifteenth International Conference on Signal Processing Systems, ICSPS 2023
EditorsZhenkai Zhang, Cheng Li
PublisherSPIE
ISBN (Electronic)9781510675056
DOIs
StatePublished - 2024
Event15th International Conference on Signal Processing Systems, ICSPS 2023 - Xi'an, China
Duration: 17 Nov 202319 Nov 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13091
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference15th International Conference on Signal Processing Systems, ICSPS 2023
Country/TerritoryChina
CityXi'an
Period17/11/2319/11/23

Keywords

  • Sequential SAR Images
  • quadratic rational kernel
  • weak moving target

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