Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos-Reference-Cited by-同舟云学术

Automatic landslide detection using Dempster–Shafer theory from LiDAR-derived data and orthophotos

Published:2017-11-23 Issue:2 Volume:8 Page:1935-1954
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Mezaal Mustafa Ridha¹,Pradhan Biswajeet¹²³^ORCID,Shafri Helmi Zulhaidi Mohd¹,Yusoff Zainuddin Md¹

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, Malaysia

2. Faculty of Engineering and Information Technology, School of Systems, Management and Leadership, University of Technology Sydney, Ultimo, Australia

3. Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Republic of Korea

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://tandfonline.com/doi/pdf/10.1080/19475705.2017.1401013

Reference67 articles.

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3. Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar

4. Bellenger A, Gatepaille S. 2011. Uncertainty in ontologies: Dempster–Shafer theory for data fusion applications. arXiv Preprint arXiv: 1106.3876.

5. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models

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