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Landslide Detection Using a Local Similarity Measure

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3 Author(s)
Khairunniza-Bejo, S. ; CVSSP, Surrey Univ., Guildford ; Petrou, M. ; Ganas, A.

In this paper, a new simple method of landslide detection and identification is proposed. It is based on the use of local mutual information and image thresholding. A binary change image is then produced. Connected component analysis is used to identify the connected regions. Landslides are identified as the largest connected regions in this image. Mathematical morphology is used to approximate the landslide region. This method is simple and suitable for the detection of large changed regions with ratio of the unchanged to changed pixels in the image of the order of a few tens

Published in:

Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic

Date of Conference:

June 2006

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