{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T07:31:28Z","timestamp":1761291088480,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T00:00:00Z","timestamp":1574985600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Research Project of Anhui Provincial Department of Education","award":["KJ2018A0425 and KJ2018A0422"],"award-info":[{"award-number":["KJ2018A0425 and KJ2018A0422"]}]},{"name":"Foreign Visiting and Training Program for Young Talents in Colleges and Universities of Anhui Province","award":["gxgwfx2019057"],"award-info":[{"award-number":["gxgwfx2019057"]}]},{"name":"National College Students Innovation and Entrepreneurship Project","award":["201910377021"],"award-info":[{"award-number":["201910377021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the rapid development of three-dimensional point cloud acquisition from mobile laser scanning systems, the extraction of urban roads has become a major research focus. Although it has great potential for digital image processing, the extraction of roads using the region growing approach is still in its infancy. We propose an automated method of urban road extraction based on region growing. First, an initial seed is chosen under constraints relating to the Gaussian curvature, height and number of neighboring points, which ensures that the initial seed is located on a road. Then, the growing condition is determined by the angle threshold of the tangent plane of the seed point. Then, new seeds are selected based on the identified road points and their curvature. The method also includes a strategy for dealing with multiple discontinuous roads in a dataset. The result shows that the method can not only achieve high accuracy in urban road extraction but is also stable and robust.<\/jats:p>","DOI":"10.3390\/s19235262","type":"journal-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T10:58:21Z","timestamp":1575025101000},"page":"5262","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automated Method of Extracting Urban Roads Based on Region Growing from Mobile Laser Scanning Data"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8813-6601","authenticated-orcid":false,"given":"Peng","family":"Li","sequence":"first","affiliation":[{"name":"School of Geographic Information and Tourism, Chuzhou University, No. 1 Huifeng West Road, Chuzhou 239000, China"},{"name":"Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruisheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada"},{"name":"School of Geographical Sciences, Guangzhou University, No. 230, Waihuan West Road, Guangzhou 510006, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanxia","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geographic Information and Tourism, Chuzhou University, No. 1 Huifeng West Road, Chuzhou 239000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ge","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Geographic Information and Tourism, Chuzhou University, No. 1 Huifeng West Road, Chuzhou 239000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/TITS.2014.2328589","article-title":"Automated Road Information Extraction from Mobile Laser Scanning Data","volume":"16","author":"Guan","year":"2015","journal-title":"IEEE Trans. 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