|Communications on Applied Electronics|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 2 - Number 4|
|Year of Publication: 2015|
|Authors: Vasireddy Pravalya, J Krishna Chaithanya, T. Ramashri|
Vasireddy Pravalya, J Krishna Chaithanya, T. Ramashri . Applying Image Fusion Technique with MRFKMC for Change Detection in SAR Images. Communications on Applied Electronics. 2, 4 ( July 2015), 38-42. DOI=10.5120/cae2015651741
In this paper, a novel framework for change detection in synthetic aperture radar (SAR) images based on image fusion and clustering algorithms have been carried out. The significance of image fusion technique is to generate a difference image (DI) by using complementary information from a mean-ratio image and a log-ratio image. Dual - tree complex discrete wavelet transform (DTCWT) fusion technique is considered in this paper. To restrain the background information and enhance the information of changed regions in the fused image, DTCWT fusion algorithm is applied on ratio images. The approach then classifies changed and unchanged regions by Markov random field K-means (MRFKMC) clustering algorithm. Theoretical analysis experiments are carried out on SAR images by applying MRFKMC and compared the results with MRFFCM.