基于LM方法的大姿态角影像空间后方交会

Space Resection of Big Attitude Image Based on Levenberg-Marquardt Method

  • 摘要: 针对低空遥感影像存在大姿态角度的特点,提出采用Levenberg-Marquardt(LM)方法实现影像空间后方交会模型的收敛解算。基于仿真数据对该方法进行了验证,并与基于单位四元数的无初值依赖算法比较。结果表明,LM方法具有与单位四元数法相当的可靠性;通过选择合适的阻尼因子,LM法迭代效率更高。

     

    Abstract: Determining the exterior orientation parameters of photogrammetry image is an important task, and a lot of classic methods are in use. In the case of large attitude angle in low-altitude remote sensing image, the model of space resection algorithm based on unit quaternion has been used in many experimentations. In this paper, the stable Levenberg-Marquardt method(LM) algorithm is employed to solve the space resection problem of large attitude angle photogrammetry image. The feasibility of the proposed method is validated based on simulation data, Meanwhile, the comparing experimentations between LM algorithm andunit quaternion method show that the LM method is less sensitive to the initialization of exterior orientation parameters. The experiment also shows that the reliability of LM method is equivalent to unit quaternion method. Furthermore, if the damped factor is set suitable, LM method will be more efficient and reliable.

     

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