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    题名: VRS GPS supported bundle adjustment with self-calibration for unmanned aerial vehicle images
    作者: Li, Min-Yu;Chio, Shih-Hong;Lin, Y.J.
    李敏瑜;邱式鴻
    贡献者: 地政系
    关键词: Aerial triangulation;Bundle adjustment with self calibrations;Close-range photogrammetric;GPS antenna;Positioning and orientation systems;Self calibration;UAV (unmanned aerial vehicle);Virtual reference stations;Antennas;Calibration;Cameras;Global positioning system;Mapping;Remote sensing;Triangulation;Unmanned aerial vehicles (UAV)
    日期: 2012
    上传时间: 2015-04-10 15:25:18 (UTC+8)
    摘要: UAV (Unmanned Aerial Vehicle) is currently used in civil purpose such as mapping and disaster monitoring. One of UAV advantages is to collect high resolution images for mapping. However, due to payload limitations of UAV, it is difficult to mount metric aerial camera and precise POS (Positioning and Orientation System) device. Instead, only the non-metric camera and the low-cost POS device can be installed. For mapping demands, the Trimble BD970 GNSS OEM board will be carried on the UAV to collect the L1/L2 carry phase measurements during fight time for promoting the flying trajectory accuracy by VRS (Virtual Reference Station) GPS technique. Meanwhile bundle adjustment with self-calibration will be employed for AT (Aerial Triangulation) to overcome the imperfect calibration of non-metric camera by the close-range photogrammetric approach. The offset between image perspective center and GPS antenna center, called GPS antenna offset, has to be faced even though the VRS GPS can provide the flying trajectory information in centimeter level. Therefore, the drift parameters will be utilized to solve the GPS antenna offset problem while performing bundle adjustment with self-calibration, i.e. AT, for precise positioning and orientation of UAV images. All in all, this study will discuss the feasibility of high-accuracy GPS supported AT for UAV images to promote the mapping possibility for UAV images in the future.
    關聯: 33rd Asian Conference on Remote Sensing 2012, ACRS 2012，Volume 1, 159-168
    数据类型: conference
    显示于类别:[地政學系] 會議論文

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