A method for moving target detection based on airborne multi-aspect SAR system

Xin Zhao, Xin Liao, Zegang Ding, Wenbin Gao

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

5 Citations (Scopus)

Abstract

Conventional methods of moving target detection, such as DPCA, GMTI have difficulties in detecting low speed target and showing the movement route. Multi-aspect airborne SAR can illuminate the same scene from different directions to get all-round scattering features of scene. In this paper, a method of moving target detection based on multi-aspect SAR images is proposed. This method can extract the change part from multi-aspect images to estimate the velocity and show the movement route. There is geometric correction, image registration and change detection along the process. As the key part of the detection, an improved image registration method named WT-SIFT is proposed, which combines Wavelet Transform (WT) with Scale-Invariant Feature Transform(SIFT). Finally, the validity of this method of moving target detection is demonstrated by an airborne multi-aspect SAR experiment.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
Publication statusPublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • Moving target detection
  • SIFT
  • Synthetic Aperture Radar (SAR) Image registration
  • Wavelet Transform

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