Novel Method for Unsupervised Fuzzy Change Detection in Multispectral Remotely Sensed Images

نویسندگان

  • Arash Abadpour
  • Shohreh Kasaei
چکیده

Analysis of the multi–spectral remotely sensed images of the areas destructed by an earthquake is proved to be a helpful tool for construction assessments. In this paper, we propose a new fast and reliable fuzzy change detection method for multi–spectral images. The proposed fuzzy change detection method is mathematically and experimentally investigated and shown to be efficient and effective.

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تاریخ انتشار 2005