• Title/Summary/Keyword: Hexcone algorithm

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A Study on the Application of IHS Transformation Technique for the Enhancement of Remotely Sensed Data Classification (리모트센싱 데이터의 분류향상을 위한 IHS 변환기법 적용)

  • Yeon, Sangho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.1 no.1
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    • pp.109-117
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    • 1998
  • To obtain new information using a single remotely sensed image data is limited to extract various information. Recent trends in the remote sensing show that many researchers integrate and analyze many different forms of remotely sensed data, such as optical and radar satellite images, aerial photograph, airborne multispectral scanner data and land spectral scanners. Korean researchers have not been using such a combined dataset yet. This study intended to apply the technique of integration between optical data and radar data(SAR) and to examine the output that had been obtained through the technique of supervised classification using the result of integration. As a result, we found of better enhanced image classification results by using IHS conversion than by using RGB mixed and interband correlation.