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    题名: A STUDY ON ROOF POINT EXTRACTION BASED ON ROBUST ESTIMATION FROM AIRBORNE LIDAR DATA
    作者: Chio,Shih-Hong
    邱式鴻
    贡献者: 政大地政系
    关键词: LIDAR data;building reconstruction;robust estimation;quadtree split-and-merge
    日期: 2008-06
    上传时间: 2013-09-13 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
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1080/02533839.2008.9671409
    DOI: 10.1080/02533839.2008.9671409
    显示于类别:[地政學系] 期刊論文

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