政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/76489
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 113648/144635 (79%)
造訪人次 : 51581292      線上人數 : 847
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/76489


    題名: An algorithm to automatically extract the roof points from airborne LIDAR data
    作者: Chio, Shih-Hong
    邱式鴻
    貢獻者: 地政系
    關鍵詞: Airborne lidar data;Building reconstruction;Data snooping;Forward selection;Ground elevation;Least squares fitting;LIDAR data;Mathematic morphologies;Quad trees;Range images;Splitting and merging;Algorithms;Forestry;Merging;Optical radar;Remote sensing;Roofs;Three dimensional;Trees (mathematics)
    日期: 2007
    上傳時間: 2015-07-13 15:16:28 (UTC+8)
    摘要: Terrain information is implied in airborne LIDAR data. Especially roof points among them are very important for 3-D building reconstruction. Therefore, this paper will present an algorithm to automatically extract roof points from airborne LIDAR data. Based on the assumption that the elevation of roof points is higher than ground elevation and the roofs are either horizontal or oblique, the roof area outlines from pure LIDAR data are roughly detected from possible roof range images, generated from LIDAR data, by image spitting and merging as well as mathematic morphology. Afterwards, some SEED regions are extracted by least squares fitting based on quad-tree spitting and merging segmentation from the LIDAR data extracted according to the detected roof area outlines. These SEED regions are used to merge adjacent LIDAR points for extracting more complete roof points by forward selection data snooping algorithm. From the experiments, the feasibility of the proposed approach will be proved.
    關聯: 28th Asian Conference on Remote Sensing 2007, ACRS 2007,Volume 3, Pages 1950-1955
    28th Asian Conference on Remote Sensing 2007, ACRS 2007,12 November 2007 through 16 November 2007,Kuala Lumpur
    資料類型: conference
    顯示於類別:[地政學系] 會議論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML21459檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    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 ©   - 回饋