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This paper addresses the problem of change detection in high-resolution multi-temporal synthetic aperture radar (SAR) images (e.g. TerraSAR-X SAR images). Given two images, the proposed method first computes a difference map between them, by taking into account both the spatial and temporal correlations. Change detection is then formulated as a binary (changed/unchanged) segmentation problem of the...
A fast approach to obtain segmentation of SAR images has been suggested here based on the local statistical characteristics using Markov random field (MRF) model on region adjacency graph (RAG). First, an initially over-segmented image derived from the watershed segmentation algorithm as well as the original SAR image is taken as the inputs of the proposed method. Secondly, a MRF is defined on RAG...
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