Water and Settlement Area Extraction from Single-band, Single-polarization SAR Images Based on SVM Method
单波段单极化SAR图像水体和居民地信息提取方法研究

It is very important to extract water and settlement areas from SAR images in practical applications.In this paper the single band and single-polarization Radarsat-1 SAR image is used to water and settlement area extraction.Firstly,the statistic structure information of sample image is analyzed using semi-variogram to determine the optimum parameters for textural information extraction.In order to establish the multi-dimension feature space for image classification,the textural measures such as mean,angle second moment and entropy have been calculated based on grey level co-occurrence matrix method.Then the water and settlement area information can be enhanced effectively using false color composite method.Three types of sample such as water,settlement and other are collected as training samples,and the image data are processed using support vector machine classification method.Finally,the image fusion on the target level between classification result image and NDVI image is conducted in order to eliminate the mountain influence,and the water and settlement areas are extracted accurately with a total classification accuracy of 82.57%,and Kappa coefficient of 0.58.