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Abstract:
This paper proposes a method for change detection based on Modified log ratio. The ratio of variance and mean has been considered along with the logarithmic ratio of the pixels in the images. The ratio of variance and mean played an important role in balancing the preservation of details and robustness to noise in difference image. The multi-temporal images are compared through the proposed method and a difference images has been generated. Fuzzy c means clustering (FCM) has been used to classify the changed and unchanged areas. The results are compared based upon various parameters like false negative (Fn), false positive (Fp), Kappa coefficient (Kc) and percentage correct classification (PCC). The qualitative and quantitative results show that the proposed method offers less speckle noise, higher accuracy and Kappa coefficient value as compare to the other direct comparison based algorithms.