摘要
针对在轨摄影测量中近距离大尺寸测量需求,提出利用星光约束的大视场角摄影测量相机最优投影模型识别及标定方法。首先,构建了具备调节系数的星光几何投影分段函数模型。随后,针对分段星光投影模型开发多站位自标定光束平差算法。通过将光束平差算法与北方苍鹰寻优策略相结合,对投影模型调节系数、相机内方位参数、相机外方位参数及镜头畸变系数同步优化,直到星点像面重投影均方根误差达到全局最小,得到最优投影模型及其参数。实测实验表明,大视场角相机星光标定后,星点像面坐标的重投影均方根误差为1/9 pixel。在连续帧星光标定实验中,通过卡尔曼滤波算法对相机参数随机误差进行了有效消除。该方法可在相机星光标定过程中识别最优投影模型并标定全部成像参数,具备连续帧标定及参数校准能力。
In response to the close-range large-scale measurement requirements in on-orbit photogrammetry,we propose an optimal projection model identification and calibration method for large field-of-view photogrammetric cameras using starlight constraints.First,a piecewise starlight geometric projection model with an adjustable coefficient is formulated.Subsequently,a general multi-station self-calibration bundle adjustment algorithm is developed for the piecewise starlight projection model.By combining the bundle adjustment algorithm with the northern goshawk optimization,we synchronously optimize the projection model adjustment coefficient,camera intrinsic and extrinsic parameters,and lens distortion coefficients.This optimization process continues until the star image points reprojection root mean squared error reaches the global minimum,resulting in the optimal projection model and its parameters.Experimental measurements show that,after calibrating the camera with a large field of view using starlight,the reprojection root mean squared error of star image coordinates is 1/9 pixel.In consecutive frame starlight calibration experiments,random errors in camera parameters using the Kalman filter are effectively eliminated.This method can identify the optimal projection model and calibrate all imaging parameters during the camera starlight calibration process,with the ability for consecutive frame calibration and parameter correction.
作者
刘其林
董明利
孙鹏
燕必希
祝连庆
Liu Qilin;Dong Mingli;Sun Peng;Yan Bixi;Zhu Lianqing(School of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022,China;School of Instrument Science and Opto-Electronics Engineering,Beijing Information Science&Technology University,Beijing 100192,China;Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument,Beijing Information Science&Technology University,Beijing 100192,China)
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2024年第1期158-169,共12页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51175047,51475046)项目资助。
关键词
在轨摄影测量
大视场角相机
最优投影模型识别
星光标定方法
on-orbit photogrammetry
large field-of-view camera
optimal projection model identification
starlight calibration
