Gully-type debris flow susceptibility assessment based on a multi-channel multi-scale residual netwo...
Gully-type debris flow susceptibility assessment based on a multi-channel multi-scale residual network fusing multi-source data: a case study of Nujiang Prefecture
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Abingdon: Taylor & Francis Ltd
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English
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Abingdon: Taylor & Francis Ltd
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Contents
In large-scale debris flow susceptibility assessments, there is often excessive manual intervention, low efficiency, and inadequate model accuracy. To address these issues, this paper integrates multiple data sources and proposes a Multi-channel and Multi-scale Residual Network (MMRNet) for automatic extraction of gully features. Firstly, MMRNet em...
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Full title
Gully-type debris flow susceptibility assessment based on a multi-channel multi-scale residual network fusing multi-source data: a case study of Nujiang Prefecture
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TN_cdi_doaj_primary_oai_doaj_org_article_137c20c9f3854926b2ee7c3c792efe3c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_137c20c9f3854926b2ee7c3c792efe3c
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ISSN
2766-9645
E-ISSN
2766-9645
DOI
10.1080/27669645.2023.2292311
