{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,30]],"date-time":"2024-07-30T07:15:00Z","timestamp":1722323700503},"reference-count":24,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2011,4,12]],"date-time":"2011-04-12T00:00:00Z","timestamp":1302566400000},"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":"This study evaluates a methodology for using IKONOS stereo imagery to determine the height and position of buildings in dense residential areas. The method was tested on three selected sites in an area of 8.5 km long by 7 km wide and covered by two overlapping (97% overlap) IKONOS images. The images were oriented using rational function models in addition to ground control points. Buildings were identified using an algorithm that utilized the Digital Surface Model (DSM) extracted from the images in addition to the image spectral properties. A digital terrain model was used with the DSM created from the IKONOS stereo imagery to compute building heights. Positional accuracy and building heights were evaluated using corner coordinates extracted from topographic maps and surveyed building heights. The results showed that the average building detection percentage for the test area was 82.6% with an average missing factor of 0.16. When the image rational polynomial coefficients were used to build the image model, results showed a horizontal accuracy of 2.42 and 2.39 m Root Mean Square Error (RMSE) for the easting and northing coordinates, respectively. When ground control points were used, the results improved to the sub-meter level. Differences between building heights extracted from the image model and the corresponding heights obtained through traditional ground surveying had a RMSE of 1.05 m.<\/jats:p>","DOI":"10.3390\/rs3040781","type":"journal-article","created":{"date-parts":[[2011,4,12]],"date-time":"2011-04-12T14:31:33Z","timestamp":1302618693000},"page":"781-791","source":"Crossref","is-referenced-by-count":30,"title":["Building Extraction from High Resolution Space Images in High Density Residential Areas in the Great Cairo Region"],"prefix":"10.3390","volume":"3","author":[{"given":"Ibrahim F.","family":"Shaker","sequence":"first","affiliation":[{"name":"Department of Public Works, Faculty of Engineering, Ain Shams University, Cairo, Egypt"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6182-4017","authenticated-orcid":false,"given":"Amr","family":"Abd-Elrahman","sequence":"additional","affiliation":[{"name":"School of Forest Resources and Conservation, University of Florida, Plant City, FL 33563, USA"}]},{"given":"Ahmed K.","family":"Abdel-Gawad","sequence":"additional","affiliation":[{"name":"Engineering Research Division, National Research Center, Cairo, Egypt"}]},{"given":"Mohamed A.","family":"Sherief","sequence":"additional","affiliation":[{"name":"ESRI North East Africa, Cairo, Egypt"}]}],"member":"1968","published-online":{"date-parts":[[2011,4,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/S0924-2716(97)00036-1","article-title":"Extraction and textural characterization of above-ground areas from aerial stereo pairs: A quality assessment","volume":"53","author":"Baillard","year":"1998","journal-title":"ISPRS J. Photogramm."},{"key":"ref_2","unstructured":"Lari, Z., and Ebadi, H. (2007, January 16\u201318). Automatic Extraction of Building Features from High Resolution Satellite Images Using Artificial Neural Networks. Proceedings of ISPRS Conference on Information Extraction from SAR and Optical Data, with Emphasis on Developing Countries, Istanbul, Turkey."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1505","DOI":"10.1080\/01431160903475340","article-title":"Automated building change detection using UltraCamD images and existing CAD data","volume":"31","author":"Liu","year":"2010","journal-title":"Int. J. Remote. Sens."},{"key":"ref_4","unstructured":"Chehata, N., Jung, F., Deseilligny, M.P., and Stamon, G. (2003, January 10\u201312). A Region-based Matching Approach for 3D-Roof Reconstruction from HR Satellite Stereo Pairs. 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Process."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/3\/4\/781\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T05:17:09Z","timestamp":1717046229000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/3\/4\/781"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,4,12]]},"references-count":24,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2011,4]]}},"alternative-id":["rs3040781"],"URL":"https:\/\/doi.org\/10.3390\/rs3040781","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,4,12]]}}}