{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T05:17:37Z","timestamp":1769577457219,"version":"3.49.0"},"reference-count":71,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2014,2,12]],"date-time":"2014-02-12T00:00:00Z","timestamp":1392163200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurate information on urban building types plays a crucial role for urban development, planning, and management. In this paper, we apply Object-Based Image Analysis (OBIA) methods to extract buildings from Airborne Laser Scanner (ALS) data and investigate the possibility of classifying detected buildings into \u201cResidential\/Small Buildings\u201d, \u201cApartment Buildings\u201d, and \u201cIndustrial and Factory Building\u201d classes by means of domain ontology and machine learning techniques. The buildings objects are classified using exclusively the information computed from the ALS data. To select the relevant features for predicting the classes of interest, the Random Forest classifier has been applied. The ontology-based classification yielded convincing results for the \u201cResidential\/Small Buildings\u201d class (F-Measure 97.7%), whereas the \u201cApartment Buildings\u201d and \u201cIndustrial and Factory Buildings\u201d classes achieved less accurate results (F-Measure 60% and 51%, respectively).<\/jats:p>","DOI":"10.3390\/rs6021347","type":"journal-article","created":{"date-parts":[[2014,2,12]],"date-time":"2014-02-12T11:35:37Z","timestamp":1392204937000},"page":"1347-1366","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":95,"title":["Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data"],"prefix":"10.3390","volume":"6","author":[{"given":"Mariana","family":"Belgiu","sequence":"first","affiliation":[{"name":"Department of Geoinformatics (Z_GIS), University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Tomljenovic","sequence":"additional","affiliation":[{"name":"Department of Geoinformatics (Z_GIS), University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Lampoltshammer","sequence":"additional","affiliation":[{"name":"Department of Geoinformatics (Z_GIS), University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria"},{"name":"School of Information Technology and Systems Management, Salzburg University of Applied Sciences, 5412 Puch-Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1860-8458","authenticated-orcid":false,"given":"Thomas","family":"Blaschke","sequence":"additional","affiliation":[{"name":"Department of Geoinformatics (Z_GIS), University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5849-1461","authenticated-orcid":false,"given":"Bernhard","family":"H\u00f6fle","sequence":"additional","affiliation":[{"name":"Institute of Geography, Chair of GIScience, University of Heidelberg, 69120 Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2014,2,12]]},"reference":[{"key":"ref_1","unstructured":"Okada, S., and Takai, N. 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