Conditioning factors determination for landslide susceptibility mapping using support vector machine learning

• 主要な著者: Kalantar, Bahareh, Ueda, Naonori, Lay, Usman Salihu, Al-Najjar, Husam Abdulrasool H., Abdul Halin, Alfian
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: IEEE 2019
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/78128/1/Conditioning%20factors%20determination%20for%20landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20learning.pdf; http://psasir.upm.edu.my/id/eprint/78128/

This study investigates the effectiveness of two sets of landslide conditioning variable(s). Fourteen landslide conditioning variables were considered in this study where they were duly divided into two sets G1 and G2. Two Support Vector Machine (SVM) classifiers were constructed based on each datas...