Landslide Extraction Using Fused Local and Nonlocal Attentional Features on Edge Device Toward Embedded UAV Emergency Response-Reference-Cited by-同舟云学术

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Landslide Extraction Using Fused Local and Nonlocal Attentional Features on Edge Device Toward Embedded UAV Emergency Response

Published:2024 Issue: Volume:62 Page:1-20
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Lin¹^ORCID,Ding Yulin¹^ORCID,Hu Han¹^ORCID,Zhu Qing¹^ORCID,Xiang Bo²,He Yunyong²,Wang Dong²

Affiliation:

1. Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China

2. Sichuan Highway Planning, Survey, Design and Research Institute Ltd., Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Province Science and Technology Plan Project

Sichuan Province Transportation and Logistics Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10535960.pdf?arnumber=10535960

Reference73 articles.

1. DCI-PGCN: Dual-Channel Interaction Portable Graph Convolutional Network for Landslide Detection

2. Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy

3. Landslides triggered by the 20 April 2013 Lushan earthquake, Sichuan Province, China

4. Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan earthquake, China

5. Spatial distribution analysis and susceptibility mapping of landslides triggered before and after Mw7.8 Gorkha earthquake along Upper Bhote Koshi, Nepal

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