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

@article{Zhang2013ANS,
  title={A Novel SAR Image Change Detection Based on Graph-Cut and Generalized Gaussian Model},
  author={Xiaohua Zhang and Jiawei Chen and Hong-yun Meng},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2013},
  volume={10},
  pages={14-18}
}
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 regions and enhance the change information synchronously. Then, each class of the difference image is modeled by generalized Gaussian distribution (GGD), and its parameters are learned by the… 

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