The Journal of Korean Institute of Electromagnetic Engineering and Science (한국전자파학회논문지)

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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A Study on Automatic Target Recognition Using SAR Imagery

SAR 영상을 이용한 자동 표적 식별 기법에 대한 연구

  • 박종일 (포항공과대학교 전자전기공학과) ;
  • 김경태 (포항공과대학교 전자전기공학과)
  • Accepted : 2011.09.16
  • Published : 2011.11.30
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Abstract

NCTR(Non-Cooperative Target Recognition) and ATR(Automatic Target Recognition) are methodologies to identify military targets using radar, optical, and infrared images. Among them, a strategy to recognize ground targets using synthetic aperature radar(SAR) images is called SAR ATR. In general, SAR ATR consists of three sequential stages: detection, discrimination and classification. In this paper, a modification of the polar mapping classifier(PMC) to identify inverse SAR(ISAR) images has been made in order to apply it to SAR ATR. In addition, a preprocessing scheme can mitigate the effect from the clutter, and information on the shadow is employed to improve the classification accuracy.

레이더 영상이나 광학 영상, 적외선 영상 등을 이용하여 표적을 식별하는 기술을 NCTR(Non-Cooperative Target Recognition) 또는 ATR(Automatic Target Recognition)이라 한다. 그 중에서 SAR(Synthetic Aperture Radar) 영상을 이용하여 자동으로 지상 표적을 식별하는 것을 SAR ATR이라고 한다. 일반적으로 SAR ATR은 탐지, 변별 및 식별 단계로 구성된다. 본 논문에서는 ISAR(Inverse Synthetic Aperture Radar) 영상 식별을 위해 개발된 극사상식별기(polar mapping classifier)를 수정하여 SAR 표적 식별에 이용하였으며, 전처리 과정을 통해 클러터 화소의 영향을 줄이고 표적의 그림자 화소들 표적 식별에 이용하여 식별 성능을 향상시켰다.

Keywords

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  1. Template Matching-Based Target Recognition Algorithm Development and Verification using SAR Images vol.17, pp.3, 2014, https://doi.org/10.9766/KIMST.2014.17.3.364