テクスチャ解析とSOMを用いたSARデータの土地利用解析

抄録

In this paper, we propose a method to apply a texture analysis to land cover mapping of Synthetic Aperture Radar (SAR) data. Texture is a fundamental characteristic in image analysis. By using the texture analysis it is possible to find patterns in an aerial image. For classification of categories we adopt the Kohonen's Self-Organizing Map (SOM) and compare the results with those of the maximum likelihood classifier.