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Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir

Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_544eaf12f6bd4887876d8e4cbe1d4fa4

Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir

About this item

Full title

Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2024-07, Vol.16 (14), p.2558

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The task of landslide recognition focuses on extracting the location and extent of landslides over large areas, providing ample data support for subsequent landslide research. This study explores the use of UAV and deep learning technologies to achieve robust landslide recognition in a more rational, simpler, and faster manner. Specifically, the wi...

Alternative Titles

Full title

Robust Landslide Recognition Using UAV Datasets: A Case Study in Baihetan Reservoir

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_544eaf12f6bd4887876d8e4cbe1d4fa4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_544eaf12f6bd4887876d8e4cbe1d4fa4

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs16142558

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