Change Detection in SAR Images using Image Fusion and Supervised Classifier

The paper proposes an approach based on a fusion object and a supervised classification system to improve detection for SAR images. Here we are using CNN denoising method for removing noise in the input image. Then information from first image is processed using mean_ratio operator. Second image is processed by log ratio operator. These two images are fused using PCA algorithm and the output is provided to KNN supervised classifier for finding change detection in the image.