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A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Consideri...

A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Consideri...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9a17d8ca4c546b5b26ff32795af067e

A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features

About this item

Full title

A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4583

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The joint action of human activities and environmental changes contributes to the frequent occurrence of landslide, causing major hazards. Using Interferometric Synthetic Aperture Radar (InSAR) technique enables the detailed detection of surface deformation, facilitating early landslide detection. The growing availability of SAR data and the develo...

Alternative Titles

Full title

A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e9a17d8ca4c546b5b26ff32795af067e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e9a17d8ca4c546b5b26ff32795af067e

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24144583

How to access this item