Citation

Ahmad Fauzi, Mohammad Faizal and Arief Wibowo, Agustinus Deddy and Lim, Sin Liang and Tan, Wooi Nee (2015) Detection of possible landslides in post-event satellite images using color and texture. In: 2015 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 9-12 December 2015, Cebu City, Philippines.

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Abstract

We propose a method for the detection of possible landslide regions from single post-event satellite or aerial images, based on color and texture analysis. When presented as a landslide inventory map, the detected landslides will be useful for evaluating susceptibility maps accuracy, or even for use as one of the causative factors for the map itself. The proposed method demonstrated very promising performance, with 100% precision and recall in detecting potential landslides. The method also recorded 94.29% true negative rate when filtering out non-landslide regions, thus providing a strong platform for the detection of actual landslide regions after the incorporation of geometrical and landslide-specific features in the future.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Terrain factors, Image color analysis, Satellites, Matrix converters, Standards, Lighting, Multimedia communication
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	13 Dec 2017 16:55
Last Modified:	13 Dec 2017 16:55
URII:	http://shdl.mmu.edu.my/id/eprint/6640

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