Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)

  • 2003.11a
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  • Pages.485-487
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  • 2003
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  • 1226-9743(pISSN)
Korean Society of Remote Sensing (대한원격탐사학회)
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A CLASSIFICATION FOR PANCHROMATIC IMAGERY BASED ON INDEPENDENT COMPONENT ANALYSIS

  • Lee, Ho-Young (Dept. of Electronic Engineering, Sogang University) ;
  • Park, Jun-Oh (Dept. of Electronic Engineering, Sogang University) ;
  • Lee, Kwae-Hi (Dept. of Electronic Engineering, Sogang University)
  • Published : 2003.11.03
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Abstract

Independent Component Analysis (ICA) is used to generate ICA filter for computing feature vector for image window. Filters that have high discrimination power are selected to classify image from these ICA filters. Proposed classification algorithm is based on probability distribution of feature vector.

Keywords