政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/60812
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113822/144841 (79%)
Visitors : 51832084      Online Users : 426
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Citation Infomation
    Times Cited in SCOPUS® 2
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/60812


    Title: A STUDY ON ROOF POINT EXTRACTION BASED ON ROBUST ESTIMATION FROM AIRBORNE LIDAR DATA
    Authors: Chio,Shih-Hong
    邱式鴻
    Contributors: 政大地政系
    Keywords: LIDAR data;building reconstruction;robust estimation;quadtree split-and-merge
    Date: 2008-06
    Issue Date: 2013-09-13 12:39:21 (UTC+8)
    Abstract: 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.
    Relation: JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 31(4), 531-550
    Data Type: article
    DOI link: http://dx.doi.org/10.1080/02533839.2008.9671409
    DOI: 10.1080/02533839.2008.9671409
    Appears in Collections:[Department of Land Economics] Periodical Articles

    Files in This Item:

    File Description SizeFormat
    531550.pdf737KbAdobe PDF21200View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©  2006-2024  - Feedback