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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/101044


    題名: Multi-type change detection of building models by integrating spatial and spectral information
    作者: 黃智遠;Chen, Liang-Chien;Huang, Chih-Yuan;Teo, Tee-Ann
    貢獻者: 太空及遙測研究中心
    關鍵詞: Animal, plant and microbial ecology;Applied geophysics;Biological and medical sciences;buildings;Earth sciences;Earth, ocean, space;Exact sciences and technology;Fundamental and applied biological sciences. Psychology;General aspects. Techniques;Internal geophysics;land surveying;lidar;surveys;Teledetection and vegetation maps
    日期: 2012-01-01
    上傳時間: 2026-04-21 14:22:03 (UTC+8)
    出版者: Taylor and Francis Ltd.;Abingdon: Taylor & Francis
    摘要: 摘要: Detecting building changes followed by updates is preferable for efficient revisions to building models. Additionally, more change types can be detected with spatial information provided by building models for reducing land surveying work. Therefore, for efficient building of model revision and land surveys, this work applies a new multi-type change detection scheme with new light detection and ranging (LIDAR) point clouds, new aerial images and existing building models. By integrating the spatial information from LIDAR data and image-based spectral information, this work identifies changes to existing buildings and identifies newly built and changed buildings. To provide an initial value for further revisions, new building regions are generated from change detection results. Experimental results demonstrate that the proposed scheme has high accuracy for both change type determination and building region generation. To provide comprehensive observations, experimental results deemed unreliable are scrutinized.
    出版者: Abingdon: Taylor & Francis
    出版日期: 2012-03-20
    出處: International journal of remote sensing, 2012-03, Vol.33 (6), p.1655-1681
    版權: Copyright Taylor & Francis Group, LLC 2012
    版權: 2015 INIST-CNRS
    識別號: ISSN: 0143-1161
    識別號: ISSN: 1366-5901
    識別號: EISSN: 1366-5901
    識別號: DOI: 10.1080/01431161.2011.593584
    識別號: CODEN: IJSEDK
    顯示於類別:[太空及遙測研究中心] 期刊論文

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