The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery

Author:

Ghorbanzadeh Omid1ORCID,Xu Yonghao1ORCID,Zhao Hengwei2ORCID,Wang Junjue2ORCID,Zhong Yanfei2ORCID,Zhao Dong3ORCID,Zang Qi3,Wang Shuang3ORCID,Zhang Fahong4ORCID,Shi Yilei5,Zhu Xiao Xiang6ORCID,Bai Lin7,Li Weile7,Peng Weihang7ORCID,Ghamisi Pedram1ORCID

Affiliation:

1. Institute of Advanced Research in Artificial Intelligence, Vienna, Austria

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

3. School of Artificial Intelligence, Xidian University, Xi'an, China

4. Data Science in Earth Observation, Technical University of Munich, Munich, Germany

5. Remote Sensing Technology, Technical University of Munich, Munich, Germany

6. Remote Sensing Technology Institute, German Aerospace Center, Wessling, Germany

7. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China

Funder

Institute of Advanced Research in Artificial Intelligence GmbH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference54 articles.

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4. Automatic Detection of Coseismic Landslides Using a New Transformer Method

5. Research on Post-Earthquake Landslide Extraction Algorithm Based on Improved U-Net Model

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