Likelihood ratio, Logistic regression and Artificial neural network 방법을 이용한 산사태 분석 및 검증; 용인지역

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dc.contributor.author S. Lee -
dc.contributor.author J.H. Ryu -
dc.date.accessioned 2020-07-17T11:51:57Z -
dc.date.available 2020-07-17T11:51:57Z -
dc.date.created 2020-02-11 -
dc.date.issued 2003-11-06 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/32109 -
dc.description.uri 1 -
dc.language English -
dc.publisher Asian Association on Remote Sensing -
dc.relation.isPartOf Proceedings of ACRS 2003 ISRS -
dc.title Likelihood ratio, Logistic regression and Artificial neural network 방법을 이용한 산사태 분석 및 검증; 용인지역 -
dc.title.alternative Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression and artificial neural network mehtods: Case study of Yongin, Korea -
dc.type Conference -
dc.citation.conferencePlace KO -
dc.citation.endPage 929 -
dc.citation.startPage 927 -
dc.citation.title Proceedings of ACRS 2003 ISRS -
dc.identifier.bibliographicCitation Proceedings of ACRS 2003 ISRS, pp.927 - 929 -
dc.description.journalClass 1 -
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