{"title":"Matching the building footprints of different vector spatial datasets at a similar scale based on one-class support vector machines","authors":"Yongyang Xu, Jun Li, Xuejing Xie, Zhong Xie","doi":"10.1080/13658816.2024.2351546","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":"16 15","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/13658816.2024.2351546","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
期刊介绍：
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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