Research and Implementation of Landslide Labeling Method Oriented to Crowdsourcing Mode
Author:
Affiliation:
1. School of Computer Science and Engineering, Beihang University,Beijing,China
2. Ningbo Ronbay New Energy Technology Co., Ltd.,Zhejiang,China
3. China Institute of Geoenvironmental Monitoring, China Geological Survey,Beijing,China
Funder
National Key Research and Development Program
China Geological Survey project
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10406301/10408741/10408919.pdf?arnumber=10408919
Reference11 articles.
1. Change detection assessment using fuzzy sets and remotely sensed data: an application of topographic map revision
2. Interpretation of landslide distribution triggered by the 2005 Northern Pakistan earthquake using SPOT 5 imagery
3. Loess Landslide Inventory Map Based on GF-1 Satellite Imagery
4. Landslide Detection Using Residual Networks and the Fusion of Spectral and Topographic Information
5. Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
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