航空大视场角镜头畸变校正技术

摘要

For the purpose of correcting the distortion of the large-field-of-view lens used on aerial cameras,this paper proposed a method using the Matlab calib_toolbox.By calibrating the captured images of a range of angles-of-view and distances,the internal parameters and distortion coefficients of the camera were obtained,and the correct mathematical model of distortion correction was built.The proposed method made an improvement on the Bouguet method,and extended its applications to distortion correction of color images for airborne cameras via subsequent programming.Furthermore,a new and efficient backstepping reconstruction pattern matching method for image-distortion-rate analysis was proposed,which quantified the level of distortion.The simulation results show that the proposed method reduces the distortion rate of color images averagely by about 10％.As all the experimental results indicate,the proposed method is simple and efficient,and it is convenient to be readily transplanted to hardware platform for real-time image distortion correction.%为校正航空相机大视场角镜头的畸变,基于Matlab的calib_toolbox工具箱,对拍摄的多幅不同角度和距离的模板进行摄像机标定,得出摄像机的内部参数和畸变系数,建立正确的畸变校正数学模型,通过后续编程处理,改进了Bouguet方法,可实现航空相机彩色图像的畸变校正,并提出一种新的有效的逆推重建图形比对法对图像的畸变率进行分析,量化畸变程度.仿真结果显示,该方法得到的彩色图像的畸变率校正后平均降低了大约10％.实验结果表明,该方法简单高效,且便于后续硬件移植,可实现实时畸变校正处理.