Automatic analysis of the difference image for unsupervised change detection

@article{Bruzzone2000AutomaticAO,
  title={Automatic analysis of the difference image for unsupervised change detection},
  author={Lorenzo Bruzzone and Diego Fern{\'a}ndez-Prieto},
  journal={IEEE Trans. Geosci. Remote. Sens.},
  year={2000},
  volume={38},
  pages={1171-1182}
}
One of the main problems related to unsupervised change detection methods based on the "difference image" lies in the lack of efficient automatic techniques for discriminating between changed and unchanged pixels in the difference image. Such discrimination is usually performed by using empirical strategies or manual trial-and-error procedures, which affect both the accuracy and the reliability of the change-detection process. To overcome such drawbacks, in this paper, the authors propose two… 

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