Land Cover Change Detection in SAR Images Based on DWT Fusion and Contourlet Fusion

A change detection approach for SAR images based on contourlet image fusion and fuzzy clustering .In this method difference image is generated from log ratio and mean ratio images by image fusion technique. In order to restrain the background information and enhance the information of changed regions in the fused difference image, wavelet fusion rules and contourlet fusion rules based on an average operator and minimum local area energy are chosen to fuse the wavelet coefficients for a low-frequency band and a Highfrequency band, respectively. A reformulated fuzzy local-informationmeans clustering algorithm is proposed for classifying changed and unchanged regions in the fused difference image. We have verified the goodness of the proposed fusion algorithm by well-known image fusion measures, entropy, area and also calculate the percentage correct classification. It was found that performance of proposed fusion method is better than wavelet transform.