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Pose estimation based on exploration of geometrical information in SAR images

  • Harbin Institute of Technology

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

Abstract

Pose normalization is beneficial for improving the accuracy of Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). In fact, pose normalization can be achieved by rotating the given images according to the estimated pose of the target of interest. However, the partial defect targets in SAR images caused by the shadow effect affects the accuracy of pose estimation. This paper proposes a pose estimation method based on the exploration of the geometrical information of the target of interest in SAR images. The proposed method is evaluated with the moving and stationary target acquisition and recognition (MSTAR) public release dataset. Experimental results verify the effectiveness of the proposed method.

Original languageEnglish
Title of host publication2016 IEEE Radar Conference, RadarConf 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509008636
DOIs
StatePublished - 3 Jun 2016
Event2016 IEEE Radar Conference, RadarConf 2016 - Philadelphia, United States
Duration: 2 May 20166 May 2016

Publication series

Name2016 IEEE Radar Conference, RadarConf 2016

Conference

Conference2016 IEEE Radar Conference, RadarConf 2016
Country/TerritoryUnited States
CityPhiladelphia
Period2/05/166/05/16

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