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Landslide Recognition Based on Machine Learning Considering Terrain Feature Fusion

Landslide Recognition Based on Machine Learning Considering Terrain Feature Fusion

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e0697b6a842a4641be41b1e392b5211a

Landslide Recognition Based on Machine Learning Considering Terrain Feature Fusion

About this item

Full title

Landslide Recognition Based on Machine Learning Considering Terrain Feature Fusion

Publisher

Basel: MDPI AG

Journal title

ISPRS international journal of geo-information, 2024-09, Vol.13 (9), p.306

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Landslides are one of the major disasters that exist worldwide, posing a serious threat to human life and property safety. Rapid and accurate detection and mapping of landslides are crucial for risk assessment and humanitarian assistance in affected areas. To achieve this goal, this study proposes a landslide recognition method based on machine lea...

Alternative Titles

Full title

Landslide Recognition Based on Machine Learning Considering Terrain Feature Fusion

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e0697b6a842a4641be41b1e392b5211a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e0697b6a842a4641be41b1e392b5211a

Other Identifiers

ISSN

2220-9964

E-ISSN

2220-9964

DOI

10.3390/ijgi13090306

How to access this item