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Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4267fd71bc15486886936f6b630bcbce

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics

About this item

Full title

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-03, Vol.16 (6), p.992

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Landslide disasters pose a significant threat, with their highly destructive nature underscoring the critical importance of timely and accurate recognition for effective early warning systems and emergency response efforts. In recent years, substantial advancements have been made in the realm of landslide recognition (LR) based on remote sensing da...

Alternative Titles

Full title

Deep Learning-Based Landslide Recognition Incorporating Deformation Characteristics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4267fd71bc15486886936f6b630bcbce

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4267fd71bc15486886936f6b630bcbce

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16060992

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