  A modified version of MRFFCM (Markov Random Field Fuzzy C means) based SAR
(Synthetic aperture Radar) image change detection method is proposed in this
paper. It involves three steps: Difference Image (DI) generation by using
Gauss-log ratio operator, speckle noise reduction by SRAD (Speckle Reducing
Anisotropic Diffusion), and the detection of changed regions by using MRFFCM.
The proposed method is compared with existing methods such as FCM and MRFFCM
using simulated and real SAR images. The measures used for evaluation includes
Overall Error (OE), Percentage Correct Classification (PCC), Kappa Coefficient
(KC), Root Mean Square Error (RMSE), and Peak Signal to Noise Ratio (PSNR). The
results show that the proposed method is better compared to FCM and MRFFCM
based change detection method.
