Geographic information products of UAV have been developed from single to multiple directions. How to obtain the pose parameters of images with high quality is the key to ensure the accuracy of products. In terms of both production quality and efficiency, the development of RTK-UAVs has gradually become the focus of public attention. In view of the fact that these UAVs are mostly used for navigation, the real-time correction of camera coordinates is not considered, and the accuracy of attitude parameters obtained by the inertial navigation unit of the micro/mini UAV is low. So a small number of GCPs still need to be laid to meet the accuracy requirements of surveying and mapping results. This paper studied a new PPK method, taking the BD930 GNSS module as an example, the UAV system was modified by using the configuration scheme of three non-collinear antennas. A carrier phase dual-difference model combining GPS, BDS and GLONASS was constructed. Then baseline vector’s determination was carried out by LAMBDA method. The system errors caused by fixed frequency, camera exposure delay and position difference were eliminated by three spline function GNSS interpolation algorithm and eccentricity measurement technology for space rear intersection. Taking the corrected position of the camera and the calculated attitude parameters as the initial values, GNSS-assisted self-bundle block adjustment was introduced to obtain high-precision pose and distortion parameters of the UAV image. The flight test in a hilly area proved that the accuracy of differential GNSS system could reach 0.01 m. Under dynamic flight, the fixed solution ratio was 58.7% higher than that of the traditional method. Without using any GCPs, the error of CPs was less than 0.3 m, and with four corner GCPs, the median error of CPs was less than 0.2 m. This confirmed that the position and distortion parameters obtained in this paper were correct and could meet the accuracy requirements of geographic information results.


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    Titel :

    Optimizing Pose of UAV Image Based on PPK Technology


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Liheng (Herausgeber:in) / Wu, Yirong (Herausgeber:in) / Gong, Jianya (Herausgeber:in) / Yu, Guangrui (Autor:in) / Su, Yuncai (Autor:in) / Yu, Lili (Autor:in) / Gong, Lianbing (Autor:in) / Zhao, Danyang (Autor:in)

    Kongress:

    China High Resolution Earth Observation Conference ; 2019 ; Chengdu, China September 01, 2019 - September 01, 2019



    Erscheinungsdatum :

    2020-06-26


    Format / Umfang :

    25 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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