Abstrait

An Efficient Approach for Change Detection in SAR Images Based on Contourlet Fusion

MerinAyshu Ali, DR. B. M. Imran

This paper presents a change detection approach for sarimags based on contourlet image fusion and fuzzy clustering .In this novel method difference image is generated from log ratio and mean ratio images by image fusion technique. For an optimal difference image, it should restrain the unchanged area information and enhance the changed areas information. The quality of difference image depends on image fusion technique. In the present work, we have proposed a new edge preserving image fusion method based on contourlet transform. Contourlet transform represent salient features of images such as edges, curves and contours in better way. To process the difference image is to discriminate changed regions from unchanged regions using fuzzy clustering algorithms. We have verified the goodness of the proposed fusion algorithm by well-known image fusion measures, entropy and also calculate the percentage correct classification. On the basis of experimental results it was found that performance of proposed fusion method is better than wavelet transform.