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