政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75042
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 113656/144643 (79%)
造访人次 : 51725533      在线人数 : 635
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/75042


    题名: Land subsidence monitoring using airborne LiDAR data and relevant auxiliary data
    作者: Hsieh, Hsing-Yi;Lee, C.-C.
    謝幸宜
    贡献者: 地政系
    关键词: Airborne LiDAR;Airborne lidar data;Auxiliary data;Comprehensive analysis;Ground truth;Land subsidence;Land surface;Least squares fitting;Point cloud;Precise leveling;Profile data;Road surfaces;Single point;Sub-grids;Topographic map;Landforms;Maps;Monitoring;Remote sensing;Roads and streets;Optical radar
    日期: 2009
    上传时间: 2015-05-07 17:39:33 (UTC+8)
    摘要: Precise leveling has high accuracy for land subsidence monitoring, but it is time-consuming and only profile data can be captured. Airborne LiDAR (Light Detection And Ranging) acquires dense and accurate point clouds on land surface rapidly. This technique can offer the potential for comprehensive analysis of land subsidence. However, the point clouds could be located on unstable terrain objects, and the accuracy of single point in point clouds may not be suitable for the evaluation of land subsidence in regular flight scanning design. After specific flight scanning design, the extraction of point clouds on stable terrain objects, e.g. road surfaces or building rooftops, and accurate elevation determination on the representative location for land subsidence monitoring are necessary. In this study, the test area with 2 km by 10 km will be divided into 5m by 5m sub-grids and each centric elevation of the grid will be calculated by the fitting planar parameters, which is determined by least squares fitting according to the point clouds in each grid. Subsequently, three approaches for acquiring stable monitoring planes will be presented in this study: (1) to classify the point clouds on stable terrain objects by its intensity, (2) to extract the point clouds on road surfaces from the road information in the topographic maps with 1/5,000 scale, (3) to extract the point clouds on rooftops from the building information in the topographic maps with 1/5,000 scale. Finally, the land subsidence between two different periods of airborne LiDAR data from the approaches mentioned above will be evaluated and analyzed based on the collected ground truth. Copyright © (2009) by the Asian Association on Remote Sensing.
    關聯: 30th Asian Conference on Remote Sensing 2009, ACRS 2009,2986-991
    数据类型: conference
    显示于类别:[地政學系] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML21189检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    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 ©   - 回馈