DETECTION OF LANDSLIDE AREAS USING UNSUPERVISED CHANGE DETECTION WITH HIGH-RESOLUTION REMOTE SENSING IMAGES

  • Park No-Wook (Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources) ;
  • Chi Kwang-Hoon (Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources)
  • Published : 2005.10.01

Abstract

This paper presents an unsupervised change detection methodology designed for the detection of landslide areas. The proposed methodology consists of two analytical steps: one for multi-temporal segmentation and the other for automatic selection of thresholding values. By considering the conditions of landslide occurrences and the spectral behavior of multi-temporal remote sensing images, some specific procedures are included in the analytical steps mentioned above. The effectiveness and applicability of the methodology proposed here were illustrated by a case study of the Gangneung area, Korea. The case study demonstrated that the proposed methodology could detect about $83\%$ of landslide occurrences.

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