English  |  正體中文  |  简体中文  |  Items with full text/Total items : 85800/114447 (75%)
Visitors : 22921147      Online Users : 80
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
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/8536


    Title: 利用資料蒐評法自動萃取空載光達資料中的屋頂面資訊
    Other Titles: Automatic Extraction of Building Roofs by Data Snooping from Airborne LIDAR Data
    Authors: 邱式鴻
    Chio,Shih-Hong
    Keywords: 光達資料;資料蒐評;建物重建
    LIDAR Data;Data Snooping;Building Reconstruction
    Date: 2004-12
    Issue Date: 2008-11-18 09:01:28 (UTC+8)
    Abstract: 空載光達資料是大量分布於地表的三維點位資料,經過處理之後,可以應用於高精度的DEM生產;萃取如建物、道路或者樹木等地物,作為景觀規劃或是其他方面之應用;甚至可以用來進行災害評估。由於空載光達資料中隱含著空間中有意義的點、線、面特徵,對於萃取其特徵建構都市區或含建物區的建物模型供後續應用是目前相當重要的研究主題。而由包含大量精確平面特徵的光達資料中,進一步處理或結構化之後萃取有意義的面特徵,甚至是更有意義的地物資訊供後續應用則需要發展不同的演算法。本文即嘗試由包含建物資訊區域範圍內的光達資料中,萃取屬於建物屋頂面資訊供後續處理應用;也就是在假設地表建物屋頂面是由三維平面所建構而成的前提之下,利用資料蒐評法發展可以確實排除不屬於屋頂面上光達資料的演算法,並精確決定建物屋頂面的資訊供建立建物模型之用。
    LIDAR data are consisted of a large number of 3-D points on the terrain surface. After Processing, LIDAR data can be used for the generation of high accuracy DEM, for the extraction of terrain object, e.g. buildings, roads and trees, as well as for disaster assessments. Urban LIDAR data contains lots of meaningful 3-D planes for building reconstruction. Therefore many algorithms are developed to extract the meaningful 3-D plane features. Based on data snooping theory, this paper proposed an algorithm to exclude non-roof point data and extract building roof planes from LIDAR data for the application of building reconstruction. The test results show the feasibility of the proposed algorithm.
    Relation: 地籍測量:中華民國地籍測量學會會刊, 23(4), 1-24
    Data Type: article
    Appears in Collections:[地政學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1145.pdf447KbAdobe PDF505View/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
    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。
    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。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback