TY  - JOUR
T1  - Change Detection in SAR Images Based on FCM with Modified MRF Approach
AU - Raj, R. Jeberson Ratan 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 23
SP  - 7272
EP  - 7275
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.7272.7275
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.7272.7275
KW  - Fuzzy C-mean
KW  -Differentiate Image (DI)
KW  -component
KW  -function
KW  -membership
KW  -approach
AB  - This study proposes the change detection in syntactic aperture (SAR) images by using the Fuzzy
C-Mean (FCM) clustering with the modified Markov Random Field (MRF) energy function. With the application
of these methods the changed and unchanged regions can be identified. This approach works based on two
important functions such as reducing noise in the image and modifying the membership functions for every
pixels concerned. For reducing the effect of speckle noise and change detection, the proposed approach used
to modify the objective function behalf of membership function where as the objective function is just returning
the normal form of the FCM. By using like this, we will get the less consuming time that by recently improved
FCM algorithm. The proposed method efficiently detecting the changes in the SAR image and the testing
results proves that, the proposed method outperforms the existing implementations.
ER  -