Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features

Landslide mapping based on a hybrid CNN-transformer network and deep transfer learning using remote sensing images with topographic and spectral features

Landslides frequently cause serious property damage and casualties. Therefore, it is crucial to have rapid and accurate landslide mapping (LM) to support post-earthquake landslide damage assessment and emergency rescue efforts. Many studies have been conducted in recent years on the application of a...

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Bibliographic Details
Main Authors: Lei Wu, Rui Liu, Nengpan Ju, Ao Zhang, Jingsong Gou, Guolei He, Yuzhu Lei
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Convolutional neural network
Deep transfer learning
Landslide mapping
Remote sensing data
Transformer
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223004363

Internet

http://www.sciencedirect.com/science/article/pii/S1569843223004363

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