An Accurate Recognition Method for Landslides Based on a Semi-Supervised Generative Adversarial Netw...
An Accurate Recognition Method for Landslides Based on a Semi-Supervised Generative Adversarial Network: A Case Study in Lanzhou City
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Author / Creator
Lu, Wenjuan , Zhao, Zhan’ao , Mao, Xi and Cheng, Yao
Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
With the development of computer technology, landslide recognition based on machine learning methods has been widely applied in geological disaster management and research. However, in landslide identification, the problems of an insufficient number of samples and an imbalance of samples are often ignored; that is, landslide samples are much smalle...
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Full title
An Accurate Recognition Method for Landslides Based on a Semi-Supervised Generative Adversarial Network: A Case Study in Lanzhou City
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TN_cdi_doaj_primary_oai_doaj_org_article_82759eb2a1f54db29452541a70534036
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_82759eb2a1f54db29452541a70534036
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app14125084
