Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network

Alkhasawneh, Mutasem Sh. and Ngah, Umi Kalthum and Lea, Tien Tay and Mat Isa, Nor Ashidi and Al-batah, Mohammad Subhi (2013) Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network. Scientific World Journal, 2013 (415023). pp. 1-12. ISSN 2356-6140

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Landslide is one of the natural disasters that occur in Malaysia. Topographic factors such as elevation, slope angle, slope aspect, general curvature, plan curvature, and profile curvature are considered as the main causes of landslides. In order to determine the dominant topographic factors in landslide mapping analysis, a study was conducted and presented in this paper. There are three main stages involved in this study. The first stage is the extraction of extra topographic factors. Previous landslide studies had identified mainly six topographic factors. Seven new additional factors have been proposed in this study.They are longitude curvature, tangential curvature, cross section curvature, surface area, diagonal line length, surface roughness, and rugosity. The second stage is the specification of the weight of each factor using two methods. The methods are multilayer perceptron (MLP) network classification accuracy and Zhou’s algorithm. At the third stage, the factors with higher weights were used to improve the MLP performance. Out of the thirteen factors, eight factors were considered as important factors, which are surface area, longitude curvature, diagonal length, slope angle, elevation, slope aspect, rugosity, and profile curvature.Theclassification accuracy of multilayer perceptron neural network has increased by 3% after the elimination of five less important factors.

Item Type: Article
Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Article
Depositing User: Mr Noorazilan Noordin
Date Deposited: 01 Feb 2018 08:15
Last Modified: 01 Feb 2018 08:15

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