Landslide Inventory Mapping Based on Independent Component Analysis and UNet3+: A Case of Jiuzhaigou, China
Author:
Affiliation:
1. School of Geological Engineering and Geomatics, Chang'an University, Xi'an, China
2. Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX, USA
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Chang'an University High Performance Computing Platform
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10342839.pdf?arnumber=10342839
Reference43 articles.
1. Heavy rainfall triggered loess–mudstone landslide and subsequent debris flow in Tianshui, China
2. Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China
3. Characteristics of earthquake- and rain-induced landslides near the epicenter of Wenchuan earthquake
4. Coseismic Coulomb failure stress changes caused by the 2017 M7.0 Jiuzhaigou earthquake, and its relationship with the 2008 Wenchuan earthquake
5. Why so few? Landslides triggered by the 2002 Denali earthquake, Alaska
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