{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T22:31:23Z","timestamp":1775601083838,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2021,4,20]],"date-time":"2021-04-20T00:00:00Z","timestamp":1618876800000},"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":["52078343"],"award-info":[{"award-number":["52078343"]}],"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":["51878428"],"award-info":[{"award-number":["51878428"]}],"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":["51708410"],"award-info":[{"award-number":["51708410"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["20ZR1462200"],"award-info":[{"award-number":["20ZR1462200"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2017YFB0503500"],"award-info":[{"award-number":["2017YFB0503500"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Precise urban fa\u00e7ade color is the foundation of urban color planning. Nevertheless, existing research on urban colors usually relies on manual sampling due to technical limitations, which brings challenges for evaluating urban fa\u00e7ade color with the co-existence of city-scale and fine-grained resolution. In this study, we propose a deep learning-based approach for mapping the urban fa\u00e7ade color using street-view imagery. The dominant color of the urban fa\u00e7ade (DCUF) is adopted as an indicator to describe the urban fa\u00e7ade color. A case study in Shenzhen was conducted to measure the urban fa\u00e7ade color using Baidu Street View (BSV) panoramas, with city-scale mapping of the urban fa\u00e7ade color in both irregular geographical units and regular grids. Shenzhen\u2019s urban fa\u00e7ade color has a gray tone with low chroma. The results demonstrate that the proposed method has a high level of accuracy for the extraction of the urban fa\u00e7ade color. In short, this study contributes to the development of urban color planning by efficiently analyzing the urban fa\u00e7ade color with higher levels of validity across city-scale areas. Insights into the mapping of the urban fa\u00e7ade color from the humanistic perspective could facilitate higher quality urban space planning and design.<\/jats:p>","DOI":"10.3390\/rs13081591","type":"journal-article","created":{"date-parts":[[2021,4,20]],"date-time":"2021-04-20T13:58:04Z","timestamp":1618927084000},"page":"1591","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["City-Scale Mapping of Urban Fa\u00e7ade Color Using Street-View Imagery"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7994-6488","authenticated-orcid":false,"given":"Teng","family":"Zhong","sequence":"first","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment (Ministry of Education), Nanjing Normal University, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6939-4349","authenticated-orcid":false,"given":"Cheng","family":"Ye","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment (Ministry of Education), Nanjing Normal University, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China"}]},{"given":"Zian","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment (Ministry of Education), Nanjing Normal University, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China"}]},{"given":"Guoan","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Virtual Geographic Environment (Ministry of Education), Nanjing Normal University, Nanjing 210023, China"},{"name":"State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9734-9510","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"},{"name":"School of Municipal and Mapping Engineering, Hunan City University, Yiyang 413000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3402-5786","authenticated-orcid":false,"given":"Yu","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China"},{"name":"Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat, Tongji University, Shanghai 200092, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"18","DOI":"10.22217\/upi.2018.490","article-title":"Human-scale Quality on Streets: A Large-scale and Efficient Analytical Approach Based on Street View Images and New Urban Analytical Tools","volume":"34","author":"Ye","year":"2019","journal-title":"Urban Plan. 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