Study of Classification by Support Vector Machine on Synthetic Aperture Radar Image
基于SVM的SAR图像分类研究

Support Vector Machine (SVM) has excellent performance in classification.The Gray Level Co-occurrence Matrix (GLCM) is a promising method for texture analysis.Texture is an important feature in Synthetic Aperture Radar (SAR) image.So the arithmetic of texture classification by SVM was investigated, using GLCM to extract features.Compared to the method using image's gray information directly for SVM classifying, the experimental results show the feasibility and effectiveness of the new method.