Improving Landslide Recognition on UAV Data through Transfer Learning
Improving Landslide Recognition on UAV Data through Transfer Learning
About this item
Full title
Author / Creator
Yang, Kaixin , Li, Wei , Yang, Xinran and Zhang, Lei
Publisher
MDPI AG
Journal title
Language
English
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Publication information
Publisher
MDPI AG
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Scope and Contents
Contents
As a frequent geological disaster, landslides cause serious casualties and economic losses every year. When landslides occur, rapid access to disaster information is the premise of implementing disaster relief and reduction. Traditional satellite remote sensing may not be able to timely obtain the image data from the disaster areas due to orbital c...
Alternative Titles
Full title
Improving Landslide Recognition on UAV Data through Transfer Learning
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_24f37466cd344fe98db0b06ff6715322
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_24f37466cd344fe98db0b06ff6715322
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app121910121
