Landslide susceptibility mapping using support vector machine and GIS at the Golestan province, Iran
The main goal of this study is to produce landslide susceptibility map using GIS-based support vector machine (SVM) at Kalaleh Township area of the Golestan province, Iran. In this paper, six different types of kernel classifiers such as linear, polynomial degree of 2, polynomial degree of 3, polyno...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Indian Academy of Sciences
2013
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Online Access: | http://psasir.upm.edu.my/id/eprint/28544/1/Landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20and%20GIS%20at%20the%20Golestan%20province%2C%20Iran.pdf http://psasir.upm.edu.my/id/eprint/28544/ http://link.springer.com/article/10.1007%2Fs12040-013-0282-2 |
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