2024
DOI: 10.1109/jstars.2023.3342989
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MAST: An Earthquake-Triggered Landslides Extraction Method Combining Morphological Analysis Edge Recognition With Swin-Transformer Deep Learning Model

Yu Huang,
Jianqiang Zhang,
Haiqing He
et al.

Abstract: Earthquake-triggered landslides (ETLs) are characterized by their extensive occurrences, having wide distributions. The conventional human-computer interaction extraction method is often time-consuming and labor-intensive, failing to meet the demands of disaster emergency response. There is a pressing need for a swift detection of ETLs. In this study, we introduce an ETLs extraction method (MAST) combining morphological analysis edge recognition with a Swin-Transformer (SWT) deep learning model, which is speci… Show more

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Cited by 6 publications
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