Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Object Extraction Technique Adequate for Radial Shape's RADAR Signal Structure

방사선 레이다 신호 구조에 적합한 물체 추적 기법

  • 김도현 (부산대학교 전자계산학과) ;
  • 박은경 (부산대학교 전자계산학과) ;
  • 차의영 (부산대학교 전자계산학과)
  • Published : 2003.07.01
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Abstract

We propose an object extraction technique adequate for the radial shape's radar signal structure for the purpose of implementing ARPA(Automatic Radar Plotting Aid) installed in the vessel. The radar signal data are processed by interpolation and accumulation to acquire a qualified image. The objects of the radar image have characteristics of having different shape and size as it gets far from the center, and it is not adequate for clustering generally. Therefore, this study designs a new vigilance distance model of elliptical shape and adopts this model in the ART2 neural network. We prove that the proposed clustering method makes it possible to extract objects adaptively and to separate the connected objects effectively.

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References

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