{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:33:58Z","timestamp":1776094438971,"version":"3.50.1"},"reference-count":30,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,3,20]],"date-time":"2021-03-20T00:00:00Z","timestamp":1616198400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971372"],"award-info":[{"award-number":["41971372"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071262"],"award-info":[{"award-number":["42071262"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Guangzhou Scientific Research Plan","award":["201804020016"],"award-info":[{"award-number":["201804020016"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2018M633023"],"award-info":[{"award-number":["2018M633023"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>Information on the mixed use of buildings helps understand the status of mixed-use urban vertical land and assists in urban planning decisions. Although a few studies have focused on this topic, the methods they used are quite complex and require manual intervention in extracting different function patterns of buildings, while building recognition rates remain unsatisfying. In this paper, we propose a new method to infer the mixed use of buildings based on a tensor decomposition algorithm, which integrates information from both high-resolution remote sensing images and social sensing data. We selected the Tianhe District of Guangzhou, China to validate our method. The results show that the recognition rate of buildings can reach 98.67%, with an average recognition accuracy of 84%. Our study proves that the tensor decomposition algorithm can extract different function patterns of buildings unsupervised, while remote sensing data can provide key information for inferring building functions. The tensor decomposition-based method can serve as an effective and efficient way to infer the mixed use of buildings, which can achieve better results with simpler steps.<\/jats:p>","DOI":"10.3390\/ijgi10030185","type":"journal-article","created":{"date-parts":[[2021,3,21]],"date-time":"2021-03-21T22:00:37Z","timestamp":1616364037000},"page":"185","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Inferring Mixed Use of Buildings with Multisource Data Based on Tensor Decomposition"],"prefix":"10.3390","volume":"10","author":[{"given":"Chenyang","family":"Zhang","sequence":"first","affiliation":[{"name":"Center of Integrated Geographic Information Analaysis, School of Geography Science and Planning, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingli","family":"Shi","sequence":"additional","affiliation":[{"name":"Center of Integrated Geographic Information Analaysis, School of Geography Science and Planning, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8780-7944","authenticated-orcid":false,"given":"Li","family":"Zhuo","sequence":"additional","affiliation":[{"name":"Center of Integrated Geographic Information Analaysis, School of Geography Science and Planning, Sun Yat-sen University, Guangzhou 510275, China"},{"name":"Guangdong Key Laboratory for Urbanization and Geo-Simulation, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geographical Science, Guangzhou University, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyan","family":"Tao","sequence":"additional","affiliation":[{"name":"Center of Integrated Geographic Information Analaysis, School of Geography Science and Planning, Sun Yat-sen University, Guangzhou 510275, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jum.2019.01.003","article-title":"Does urban mixed use development approach explain spatial analysis of inner city decay?","volume":"8","author":"Farjam","year":"2019","journal-title":"J. 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