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Thermal Detection of Water Saturation Spots For Landslide Prediction

Aufa, Zin and Kamarul Hawari, Ghazali and Norliana, Khamisan (2015) Thermal Detection of Water Saturation Spots For Landslide Prediction. ARPN Journal of Engineering and Applied Sciences, 10 (22). pp. 17114-17119. ISSN 1819-6608

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Abstract

Nowadays, we heard many serious issues about landslide phenomenon in Malaysia. It became serious when landslide phenomenon affects human’s life. It causes human injury, loss of life and economical problem. There are a few factors that caused landslide but the main factor is heavy rain. Hence, to solve this issue, this study investigates a new method to detect spots of high water saturation which is integrated with a thermal camera system to provide early detection of landslide. The thermal camera is selected because it provides accurate predict where landslide going to occur. Thermal camera can be used to detect spots of high water saturation which is a key component that contributes to landslide activity. The technique of neural network is used to classify the image of water saturation. The analysis is done using 40 samples. It was tested to classify the data into two groups which are low water saturation and high water saturation

Item Type: Article
Uncontrolled Keywords: thermal camera, landslide, morphology, and feature matching
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 15 Jan 2018 04:09
Last Modified: 15 Jan 2018 04:09
URI: http://umpir.ump.edu.my/id/eprint/20079
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