On the detection of possible landslides in post-event satellite images: A probability map approach

Ahmad Fauzi, Mohammad Faizal and Lim, Sin Liang and Tan, Wooi Nee and Arief Wibowo, Agustinus Deddy (2015) On the detection of possible landslides in post-event satellite images: A probability map approach. International Journal of Machine Learning and Computing, 5 (4). pp. 325-328. ISSN 2010-3700

[img] Text
On the detection of possible landslides in post-event satellite images A probability map approach.pdf
Restricted to Repository staff only

Download (1MB)
Official URL: http://www.ijmlc.org/index.php?m=content&c=index&a...

Abstract

Landslides are a significant hazard to property and livelihoods, causing millions of dollars worth of damage annually throughout the world, but especially in tropical regions such as Malaysia. Automated or semi-automated detection of landslides from aerial or satellite imagery and generating landslide susceptibility or hazard map are two of the main research topics in landslide research. In this paper, we propose a probability map approach in detecting possible landslide regions from satellite or aerial images. The detected landslides, tabulated as landslide inventory map, will be useful as the ground truth for evaluating landslide susceptibility map, or even used as one of the causative factors for the susceptibility map itself. The proposed probability map is computed using only colour information, but demonstrated very promising performance in locating potential landslide regions; thus provides a strong platform to locate actual landslides by incorporating texture and shape features in the future.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 15 Apr 2015 02:47
Last Modified: 15 Apr 2015 02:47
URI: http://shdl.mmu.edu.my/id/eprint/6183

Actions (login required)

View Item View Item