Orientation Parameters Estimation and Lens Distortion Correction for UAVs Photogrammetry with Non-metric Cameras  

作　　者：DENG Xingsheng GAO Yang ZHU Xu 

机构地区：[1]School of Aeronautical Engineering,Changsha University of Science&Technology,Changsha 410114,China [2]Key Laboratory of Highway Engineering of Ministry of Education,Changsha University of Science&Technology,Changsha 410114,China

出　　处：《Journal of Geodesy and Geoinformation Science》2025年第1期71-88,共18页测绘学报(英文版)

基　　金：Natural Science Foundation of Hunan Province,China(No.2024JJ8335);Open Topic of Hunan Geospatial Information Engineering and Technology Research Center,China(No.HNGIET2023004).

摘　　要：The estimation of orientation parameters and correction of lens distortion are crucial problems in the field of Unmanned Aerial Vehicles(UAVs)photogrammetry.In recent years,the utilization of UAVs for aerial photogrammetry has witnessed a surge in popularity.Typically,UAVs are equipped with low-cost non-metric cameras and a Position and Orientation System(POS).Unfortunately,the Interior Orientation Parameters(IOPs)of the non-metric cameras are not fixed.Whether the lens distortions are large or small,they effect the image coordinates accordingly.Additionally,Inertial Measurement Units(IMUs)often have observation errors.To address these challenges and improve parameter estimation for UAVs Light Detection and Ranging(LiDAR)and photogrammetry,this paper analyzes the accuracy of POS observations obtained from Global Navigation Satellite System Real Time Kinematic(GNSS-RTK)and IMU data.A method that incorporates additional known conditions for parameter estimation,a series of algorithms to simultaneously solve for IOPs,Exterior Orientation Parameters(EOPs),and camera lens distortion correction parameters are proposed.Extensive experiments demonstrate that the coordinates measured by GNSS-RTK can be directly used as linear EOPs;however,angular EOP measurements from IMUs exhibit relatively large errors compared to adjustment results and require correction during the adjustment process.The IOPs of non-metric cameras vary slightly between images but need to be treated as unknown parameters in high precision applications.Furthermore,it is found that the Ebner systematic error model is sensitive to the choice of the magnification parameter of the photographic baseline length in images,it should be set as less than or equal to one third of the photographic baseline to ensure stable solutions.

关 键 词：UAVs photogrammetry non-metric cameras Interior Orientation Parameters(IOPs) Exterior Orientation Parameters(EOPs) lens distortion correction 

分 类 号：P23[天文地球—摄影测量与遥感]