With the growing prominence of UAV-based low-altitude remote sensing in agriculture, the acquisition and processing of high-quality UAV remote sensing images is paramount. The purpose of this study is to investigate the impact of various parameter settings on image quality and optimize these parameters for UAV operations to enhance efficiency and image quality. The study examined the effects of three parameter settings (exposure time, flight altitudes and forward overlap (OF)) on image quality and assessed images obtained under various conditions using signal-to-noise ratio (SNR) and BRISQUE algorithms. The results indicate that the setting of exposure time during UAV image acquisition directly affects image quality, with shorter exposure times resulting in lower SNR. The optimal exposure times for the RGB and MS cameras have been determined as 0.8 ms to 1.1 ms and 4 ms to 16 ms, respectively. Additionally, the best image quality is observed at flight altitudes between 15 and 35 m. The setting of UAV OF complements exposure time and flight altitude; to ensure the completeness of image acquisition, it is suggested that the flight OF is set to approximately 75% at a flight altitude of 25 m. Finally, the proposed image redundancy removal method has been demonstrated as a feasible approach for reducing image mosaicking time (by 84%) and enhancing the quality of stitched images (by 14%). This research has the potential to reduce flight costs, improve image quality, and significantly enhance agricultural production efficiency.


    Access

    Download


    Export, share and cite



    Title :

    Evaluation of Mosaic Image Quality and Analysis of Influencing Factors Based on UAVs


    Contributors:
    Xiaoyue Du (author) / Liyuan Zheng (author) / Jiangpeng Zhu (author) / Haiyan Cen (author) / Yong He (author)


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    2012-2461 Scene Classification and Landmark Spotting in Multilayer Image Mosaic for UAVs in GPS-Denied Situations

    Park, S. / Kaabouch, N. / Fevig, R. et al. | British Library Conference Proceedings | 2012


    UAVs - Test and Evaluation

    Sweetman, A. | British Library Conference Proceedings | 2005


    Assessing Human Factors in UK Military UAVs

    Greenbank, C. / Ayliffe, A. / North Atlantic Treaty Organization | British Library Conference Proceedings | 2005


    UAVs

    Online Contents | 2003