Journal article
UAV-Based Slope Failure Detection Using Deep-Learning Convolutional Neural Networks
Omid Ghorbanzadeh, Sansar Raj Meena, Thomas Blaschke, Jagannath Aryal
REMOTE SENSING | MDPI | Published : 2019
DOI: 10.3390/rs11172046
Open access
Abstract
Slope failures occur when parts of a slope collapse abruptly under the influence of gravity, often triggered by a rainfall event or earthquake. The resulting slope failures often cause problems in mountainous or hilly regions, and the detection of slope failure is therefore an important topic for research. Most of the methods currently used for mapping and modelling slope failures rely on classification algorithms or feature extraction, but the spatial complexity of slope failures, the uncertainties inherent in expert knowledge, and problems in transferability, all combine to inhibit slope failure detection. In an attempt to overcome some of these problems we have analyzed the potential of d..
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Awarded by Open Access Funding of Austrian Science Fund (FWF) through the GIScience Doctoral College
Funding Acknowledgements
This research is partly funded by the Open Access Funding of Austrian Science Fund (FWF) through the GIScience Doctoral College (DKW 1237-N23).