USING DISCRETE WAVELET TRANSFORMATION IN FUSION STRATEGY FOR TARGET SEGMENTATION

This article is presented on SAR (Synthetic aperture radar) images are based on image fusion and reformulated fuzzy clustering to detect the difference between two images. After fusion for better resolution wavelet technique is used to enhance the information of changed region is extracted form background information by using difference image is based on wavelet fusion. The proposed method fuzzy local c means clustering (FCM) algorithm is used for differentiating both changed and unchanged regions in fused image. From this method we get efficient results and lower error than compare to existing techniques and gives effective accuracy