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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/963

    Title: 高解析力衛星影像真實正射改正及遮蔽區域補償;The Generation of True Orthophotos from High Resolution Satellites Images and Compensation of Hidden Area
    Authors: 溫仁佑;Jen-Yu Wen
    Contributors: 土木工程研究所
    Keywords: 遮蔽區;真實正射化;影像正射化;and True orthophotos;High Resolution Satellites Images;Hidden areas;DBM;DTM
    Date: 2004-06-07
    Issue Date: 2009-09-18 17:16:39 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 本研究目的乃利用高解析力衛星影像進行真實正射改正。主要研究工作包含四項:(1)求解方位參數,(2)利用數值地形模型進行傳統正射改正,(3)校正房屋高差移位及(4)遮蔽區域處理。求解方位參數部分,研究中利用載體參數求解方位,以及有理函數係數簡化求解方位參數過程。利用衛星方位以及數值地形模型進行傳統正射改正。之後,並配合數值房屋模型,針對房屋之高差移位進行校正。為了並免重複映射問題產生,研究中,需先偵測出遮蔽區域。由於高解析力衛星,視域小,研究中採取一有效率方式,偵測房屋之遮蔽區域,以及房屋高差移位之校正。測試區域為高雄地區以及新竹地區,測試影像為捷鳥衛星影像。 The purpose of this investigation is to generate true orthophotos from high resolution satellite images. The major works of this research include 4 parts: (1) determination of orientation parameters, (2) generating traditional orthophotos using terrain model, (3) relief correction for buildings, and (4) process for hidden areas. To determine the position of satellites, we correct the onboard orientation parameters to fine tune the orbit. In the generation of traditional orthophotos, we employ orientation parameters and digital terrain model (DTM) to rectify tilt displacements and relief displacements for terrain. We, then, compute relief displacements for buildings with digital building model (DBM). To avoid double mapping, we detect hidden areas. Due to the satellite’s small field of view, an efficient method for the detection of hidden areas and building rectification will be proposed in this paper. Test areas cover the city of Kaohsiung in southern Taiwan. and the city of Hsinchu in northern Taiwan.Test images are from the QuickBird satellite.
    Appears in Collections:[土木工程研究所] 博碩士論文

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