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題名 A STUDY ON ROOF POINT EXTRACTION BASED ON ROBUST ESTIMATION FROM AIRBORNE LIDAR DATA
作者 Chio,Shih-Hong
邱式鴻
貢獻者 政大地政系
關鍵詞 LIDAR data;building reconstruction;robust estimation;quadtree split-and-merge
日期 2008-06
上傳時間 13-Sep-2013 12:39:21 (UTC+8)
摘要 The airborne LIDAR scanning system is a whole new surveying technique that captures extremely detailed and abundant terrain surface information. Terrain information is implied in airborne LIDAR data.Roof points are especially important in airborne LIDAR data for 3-D building reconstruction. The key point for automatically and reliably extracting roof points from airborne LIDAR data is how to exclude irrelevant non-roof points. Robust estimation is a theory about how to remove blunders from observations. If the nonroof points are viewed as blunders, it is possible to develop an algorithm to acquire the roof points, based on robust estimation theory. This paper will therefore study how to develop an algorithm to acquire those roof LIDAR points and remove irrelevant non-roof LIDAR points, based on robust estimation theory. Problems relevant to the proposed algorithm will be investigated in this study through experiments in order to understand the feasibility of the proposed algorithm and to further develop an automatic algorithm to extract roof points from airborne LIDAR data.
關聯 JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 31(4), 531-550
資料類型 article
DOI http://dx.doi.org/10.1080/02533839.2008.9671409
dc.contributor 政大地政系en_US
dc.creator (作者) Chio,Shih-Hongen_US
dc.creator (作者) 邱式鴻zh_TW
dc.date (日期) 2008-06en_US
dc.date.accessioned 13-Sep-2013 12:39:21 (UTC+8)-
dc.date.available 13-Sep-2013 12:39:21 (UTC+8)-
dc.date.issued (上傳時間) 13-Sep-2013 12:39:21 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/60812-
dc.description.abstract (摘要) The airborne LIDAR scanning system is a whole new surveying technique that captures extremely detailed and abundant terrain surface information. Terrain information is implied in airborne LIDAR data.Roof points are especially important in airborne LIDAR data for 3-D building reconstruction. The key point for automatically and reliably extracting roof points from airborne LIDAR data is how to exclude irrelevant non-roof points. Robust estimation is a theory about how to remove blunders from observations. If the nonroof points are viewed as blunders, it is possible to develop an algorithm to acquire the roof points, based on robust estimation theory. This paper will therefore study how to develop an algorithm to acquire those roof LIDAR points and remove irrelevant non-roof LIDAR points, based on robust estimation theory. Problems relevant to the proposed algorithm will be investigated in this study through experiments in order to understand the feasibility of the proposed algorithm and to further develop an automatic algorithm to extract roof points from airborne LIDAR data.en_US
dc.format.extent 754922 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 31(4), 531-550en_US
dc.subject (關鍵詞) LIDAR data;building reconstruction;robust estimation;quadtree split-and-mergeen_US
dc.title (題名) A STUDY ON ROOF POINT EXTRACTION BASED ON ROBUST ESTIMATION FROM AIRBORNE LIDAR DATAen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1080/02533839.2008.9671409-
dc.doi.uri (DOI) http://dx.doi.org/10.1080/02533839.2008.9671409-