Agricultural Land Use Classification from RADARSAT Images ADRO Project #669 (original) (raw)

Abstract

This study demonstrated how interpretation of RADARSAT images improved our understanding of earth's surface and performed the analysis signal/terrain interaction, which results in terms of textures and other's characters of RADARSAT imagery. Focusing was placed on visual interpretation of RADARSAT images in order to make a good distinguishes between different tones, textures shapes, patterns and signatures. The next step was the establishment of charts for tones and textures, which were employed together with the signature characteristics of RADARSAT images to develop an "interpretation key" for agricultural land use purposes. We applied supervised classifications on Landsat TM images and on Landsat TM images integrated with RADARSAT images. Then comparisons of tones, textures and patterns were done between the two kinds of images. We found that characteristics of RADARSAT images such as tone, texture signature and pattern are very important elements for visual int...

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