テクスチャ情報を用いたSVMによる河川堤防の植生分類

抄録

In order to manage river bank, we propose a method to classify vegetation in river band by Support Vector Machine (SVM) on the basis of texture information. The method comprises three steps: detection of vegetation, initial classification by SVM, and reclassification to reduce noises. The results for 38 images obtained by the Akita Office of River and National Highway show that the proposed method using both texture information and RGB components can accurately classify grasses and harmful vegetation in comparison with a case using the RGB original components.