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Analysis of Relation of Class Separability According to Different Kind of Satellite Images

위성영상의 종류에 따른 분리도 특성의 상관관계 분석

  • 홍순헌 (부산대학교 산업토목학과)
  • Published : 2007.01.28

Abstract

The classification of the satellite images is basic part in Remote sensing. In classification of the satellite images, class separability feature is very effective accuracy of the images classified. For improving classification accuracy, It is necessary to study classification methode than analysis of class separability feature deciding classification probability. In this study, IKONOS, SPOT 5, Landsat TM, were resampled to sizes 1m grid. Above images were calculated the class separability prior to the step for classification of pixels. This Study concludes, each image was measured by the rate of class separability, values classified were showed highly about $1,600{\sim}2,000$.

Keywords

Classification of The Satellite Images;Class Separability;Remote Sensing

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