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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Specific Material Detection with Similar Colors using Feature Selection and Band Ratio in Hyperspectral Image

초분광 영상 특징선택과 밴드비 기법을 이용한 유사색상의 특이재질 검출기법

  • Shim, Min-Sheob (Department of Electronic Engineering, LED-IT Fusion Technology Research Center, Yeungnam University) ;
  • Kim, Sungho (Department of Electronic Engineering, LED-IT Fusion Technology Research Center, Yeungnam University)
  • 심민섭 (영남대학교 전자공학과) ;
  • 김성호 (영남대학교 전자공학과)
  • Received : 2013.08.20
  • Accepted : 2013.10.04
  • Published : 2013.12.01
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Abstract

Hyperspectral cameras acquire reflectance values at many different wavelength bands. Dimensions tend to increase because spectral information is stored in each pixel. Several attempts have been made to reduce dimensional problems such as the feature selection using Adaboost and dimension reduction using the Simulated Annealing technique. We propose a novel material detection method that consists of four steps: feature band selection, feature extraction, SVM (Support Vector Machine) learning, and target and specific region detection. It is a combination of the band ratio method and Simulated Annealing algorithm based on detection rate. The experimental results validate the effectiveness of the proposed feature selection and band ratio method.

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References

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