A Novel SAR Image Change Detection Based on Graph-Cut and Generalized Gaussian Model

In this letter, a robust and fast unsupervised change-detection framework is proposed for synthetic aperture radar (SAR) images. It contains three aspects. First, a robust difference image is constructed with the idea of probability patch-based, and it can suppress the speckle effects on the changed...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2013-01, Vol.10 (1), p.14-18
Hauptverfasser:	Zhang, Xiaohua, Chen, Jiawei, Meng, Hongyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Change detection Change detection algorithms Convergence Estimation expectation maximization Fuzzy generalized Gaussian model graph cut Inference Mathematical models Noise measurement Robustness Speckle Studies Synthetic aperture radar
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