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Authors
Affiliations
1 Department of Computer Science and Engineering, VELS University, Chennai, IN
Source
Digital Image Processing, Vol 7, No 5 (2015), Pagination: 156-159
Abstract
In this approach it classifies image change detection process for analyzing disaster with the help of synthetic aperture radar images. It determines difference between two SAR images taken at different times. it detect difference through pixels by pixels based on change and unchanged regions by using fuzzy c-means clustering with a novel Markov Random Fields(MRF) energy function. Its main objective function is to detect real changes between two images, less time consuming, remove dot spots and patches from the images. It also modifies the member of each pixel using MRF energy function through which neighbor of each pixels and their relationship are much concerned.
Keywords
Fuzzy C Mean Clustering, Image Change Detection, Markov Random Field (MRF), Synthetic Aperture Radar (SAR).
