BisDeNet: A New Lightweight Deep Learning-Based Framework for Efficient Landslide Detection-Reference-Cited by-同舟云学术

BisDeNet: A New Lightweight Deep Learning-Based Framework for Efficient Landslide Detection

Published:2024 Issue: Volume:17 Page:3648-3663
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Chen Tao¹^ORCID,Gao Xiao¹^ORCID,Liu Gang²^ORCID,Wang Chen¹^ORCID,Zhao Zeyang¹^ORCID,Dou Jie³^ORCID,Niu Ruiqing¹^ORCID,Plaza Antonio J.⁴^ORCID

Affiliation:

1. School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

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

3. Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan, China

4. Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain

Funder

National Natural Science Foundation of China

Opening Fund of State Key Laboratory of Geohazard Prevention and Geoenvironment Protection

Chengdu University of Technology

Open Fund of State Key Laboratory of Remote Sensing Science

Open Fund of Badong National Observation and Research Station of Geohazards

Opening Fund of the Key Laboratory of National Geographic Census and Monitoring

Ministry of Natural Resources

Open Fund of Hebei Cangzhou Groundwater and Land Subsidence National Observation and Research Station

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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