In this work, a novel building edge detector which jointly exploits the full complex SAR image is proposed. The algorithm, starting from both amplitude and phase signals, detects building edges by estimating the spatial correlation between neighboring pixels. The observed scene is modeled using Markov Random Field theory. The proposed procedure is able to correctly identify the building and recover their shapes while maintaining a low false alarm rate, overcoming the limitation of existing techniques.
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