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

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
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Efficient Classification of ISAR Images Based on Polar Mapping Technique

극사상법을 이용한 효율적인 ISAR 영상 구분

  • Kim Kyung-Tae (Department of Electrical Engineering and Computer Science, Yeungnam University) ;
  • Park Jong-Il (Department of Electrical Engineering and Computer Science, Yeungnam University) ;
  • Shin Young-Nam (Department of Electrical Engineering and Computer Science, Yeungnam University)
  • 김경태 (영남대학교 전자정보공학부) ;
  • 박종일 (영남대학교 전자정보공학부) ;
  • 신영남 (영남대학교 전자정보공학부)
  • Published : 2005.03.01
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Abstract

In this paper, we propose a method to classify inverse synthetic aperture radar(ISAR) image from different target. The approach can provide efficient features for classification by the combined use of a polar mapping procedure and a well-designed classifier The resulting feature vectors are able to meet requirements that efficient features should have : invariance with respect to rotation and scale, small dimensionality, as well as highly discriminative information. Typical experimental examples of the proposed method are provided and discussed.

본 논문에서는 ISAR 영상을 이용하여 표적을 식별하기 위한 알고리즘을 제안한다. 표적의 식별은 최소한의 시간에 정확하게 이루어져야 한다. 그러나 기존의 방식은 ISAR 영상을 그대로 이용하기 때문에 같은 표적에 대한 영상이더라도 레이더에서 표적까지의 거리, 표적의 운동방향 및 속도에 따라 ISAR영상이 변하는 문제점이 있다. 표적의 회전 및 크기 변화에 대해 변하지 않고, 차원이 낮으며, 표적 식별에 필요한 중요한 정보를 포함하는 특징만 영상에서 추출하여 식별에 이용함으로써 정확도는 높이고 계산량과 계산 시간을 줄일 수 있다. 위의 나열된 특성벡터가 갖춰야 할 조건을 만족시키기 위해 본 논문에서는 극사상법 및 적절한 구분기를 제안하며, 기존의 방식과 비교하여 성능을 평가한다

Keywords

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