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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/152327


    Title: 以空載光達校正場矩形平屋頂半自動評估點雲精度之程序研究
    The Study of Semi-automatic Accuracy Assessment Procedure on Point Clouds Using Rectangular Planar Roofs from Airborne LiDAR Calibration Field
    Authors: 邱式鴻;詹立丞
    Chio, Shih-hong;Chan, Li-cheng
    Contributors: 地政系
    Keywords: 點雲精度評估;最小二乘平面擬合;粗差偵測;最小一乘法;選擇權迭代法
    Point clouds accuracy assessment;Least squares plane fitting;Gross error detection;Least absolute deviation;Iteration with the selected weights
    Date: 2020-03
    Issue Date: 2024-07-17
    Abstract: 以空載光達校正場矩形平屋頂作為標的物執行點雲精度評估時，需先萃取平屋頂面上之點雲，為避免萃取成果受雜訊影響，本研究引入粗差偵測理論，發展最小一乘法[1]結合李德仁所發展以後驗變方估計原理導出的選擇權迭代法（稱李德仁法）[2]將非屋頂點視為粗差排除。研究中使用校正場6組點雲資料，經由測試提出半自動化點雲精度評估之程序。實驗結果顯示本研究所提之程序，其成果可避免因人而異，達一致性之點雲精度評估結果；而實驗結果亦顯示，本研究所提最小一乘法結合李德仁法的改良李德仁法，可將非屋頂點視為粗差排除，於含有大量牆面點雲的資料中，比原李德仁法提升約10%的偵測粗差數量。
    This study attempts to establish a semi-automatic procedure for the accuracy assessment of point clouds from airborne LiDAR system. Least Absolute Deviation (LAD) [1] combined with the Iteration using selected weights presented by Li (Li method) [2] is developed to exclude the non-roof points that are regarded as gross errors and eliminate their influences. In this study, six datasets in calibration field were used to develop a semi-automatic procedure based on several tests. Even different operators employ this semi-automatic procedure, consistent results were obtained and the reliability can be achieved in this study. In additional, about 10% gross errors can be detected by our proposed improved Li method than original Li method.
    Relation: 中國土木水利工程學刊, Vol.32, No.1, pp.43-61
    Data Type: article
    DOI 連結: https://doi.org/10.6652/JoCICHE.202003_32(1).0005
    DOI: 10.6652/JoCICHE.202003_32(1).0005
    Appears in Collections:[地政學系] 期刊論文

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