共查询到17条相似文献,搜索用时 140 毫秒
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《武汉大学学报(信息科学版)》2016,(4)
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。 相似文献
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利用对偶四元数可以同时描述位置与姿态的特性,在简化四元数球面线性插值算法的基础上,建立了基于对偶四元数的航天线阵遥感影像的外方位元素模型,且利用该模型设计并实现了光束法平差解算方法。该方法可使用具有约束条件的参数平差法进行迭代求解。利用两个地区的SPOT-5 HRS立体影像进行了对比试验分析,结果表明,提出的基于对偶四元数的光束法平差算法正确可靠,相比于基于欧拉角的平差算法和基于单位四元数的平差算法,有更高的平差计算精度。 相似文献
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《武汉大学学报(信息科学版)》2016,(4)
大旋转角坐标变换模型的迭代解法依赖于初值的确定。用四元数构造旋转矩阵,建立了三维坐标变换的牛顿迭代公式,并提出了一种初值构造算法。利用实测数据和模拟数据对该算法进行了验证,并与其他算法进行比较。结果表明,该初值构造算法使得基于四元数的大旋转角坐标变换模型更加稳健。 相似文献
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基于单位四元数的绝对定向直接解法 总被引:1,自引:0,他引:1
摄影测量学中传统的绝对定向一般是迭代算法,需要比较准确的迭代初值.在简要介绍四元数的基础上,通过严格的理论推导得到了一套无需迭代、直接求解绝对定向参数的算法.算法的主要原理是用单位四元数描述坐标旋转变换关系,并将绝对定向问题转变为一个最优化问题进行求解.最后通过模拟数据进行仿真计算试验,验证了算法的正确性和可靠性. 相似文献
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基于对偶四元数可统一描述位置与姿态的特点,提出了利用对偶四元数求解线阵卫星遥感影像外方位元素的方法。该方法使用对偶四元数的实部描述传感器的姿态,并利用对偶部和实部共同描述成像传感器的位置。通过对位置和姿态的内插建立了基于对偶四元数的外方位元素模型。为减少运算,将球面线性插值进行化简,进而建立了基于线性插值的成像几何模型。为求解外方位元素,首先对共线条件方程进行了线性化,然后通过矩阵微分运算推导了线元素的虚拟观测方程,并根据误差传播定律确定其权值,最终采用具有约束条件的参数平差法求解外方位元素。试验结果表明本文方法正确可靠,与采用欧拉角和单位四元数的外方位元素求解方法相比,有更高的参数解算精度,同时也表明了准确的初值和虚拟观测方程对外方位元素求解的必要性。 相似文献
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利用四元数描述线阵CCD影像的空间后方交会 总被引:3,自引:0,他引:3
将四元数理论引入高分辨率线阵CCD影像的空间后方交会解算中,提出了一种利用四元数描述线阵CCD影像的单片空间后方交会方法。该方法利用四元数描述角度旋转矩阵,对严格的共线条件方程进行线性化,并采用正则化的数学方法克服线阵CCD影像外方位元素的相关性。试验证明了本算法的正确性和可靠性。 相似文献
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用于GPS姿态确定的矢量化算法可等价于两级最优问题。第一级把GPS载波相位观测量转换为矢量观测量。第二级是Wahba问题,即从矢量观测量获得最佳姿态解。Wahba问题可用四元数法求解,如QUEST方法。本文采用基于小角度的迭代法求解Wahba问题。在均衡星座或均衡基线务件下,两级最优解亦是全局最优解。实验结果表明迭代解的精度与QUEST解相同。实验中也应用了改进的TRIAD算法以比较两级最优解。 相似文献
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The representation of similarity transformation in three-dimensional (3D) space, especially of orientation, is a crucial issue in navigation, geodesy, photogrammetry, robot arm manipulation, etc. Considering the large amount of computer resources required by iterative algorithms designed for spatial similarity transformation, the high dependence on initial values of unknown parameters, and the instability of solving transformation parameters for large-angle registration, a closed-form solution for pairwise light detection and ranging (LiDAR) point cloud registration is proposed. In this solution, dual-number quaternions are used to represent the 3D rotation. The relationship between the rotation matrix-based representation of similarity transformation and the dual quaternion-based representation is described first. Considering that the same features from two neighboring stations coincide after pairwise registration, a dual quaternion-based error norm, which is associated with the sum of the position errors, is constructed. Based on theory of least squares and by extreme value analysis of the error norm, detailed derivations of the model and the main formulas are obtained. Once the similarities between the same features from the two neighboring LiDAR stations are constructed, the rotation matrix, the scale parameter, and the translation vector are simultaneously derived. Two experiments are conducted to verify the feasibility and effectiveness of the proposed algorithm. The proposed algorithm has the advantages of simplicity and ease of implementation, making it better than the traditional methods that use matrices to describe spatial rotation. Moreover, it solves the transformation parameters without the initial estimates of unknown parameters, making it better than iterative algorithms. Most importantly, in contrast to unit quaternion-based algorithms, the proposed algorithm solves seven unknown parameters simultaneously. Therefore, it effectively avoids the accumulation of introduced error in calculation and the negative impact from the inappropriate choice of initial values. 相似文献
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A Quaternion-based Geodetic Datum Transformation Algorithm 总被引:1,自引:1,他引:1
This paper briefly introduces quaternions to represent rotation parameters and then derives the formulae to compute quaternion, translation and scale parameters in the Bursa–Wolf geodetic datum transformation model from two sets of co-located 3D coordinates. The main advantage of this representation is that linearization and iteration are not needed for the computation of the datum transformation parameters. We further extend the formulae to compute quaternion-based datum transformation parameters under constraints such as the distance between two fixed stations, and develop the corresponding iteration algorithm. Finally, two numerical case studies are presented to demonstrate the applications of the derived formulae. 相似文献
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采用方向余弦矩阵描述姿态,建立GPS/陀螺组合姿态确定系统模型,由矩阵Kalman滤波方法解算整周模糊度的浮点解,然后再利用MCLambda方法得到整周模糊度固定解。仿真实验结果表明,附加方向余弦矩阵约束的Kalman滤波方法可以有效地提高整周模糊度浮点解的精度,使得整周模糊度的固定成功率和效率均得到提高,尤其是在GPS观测条件较差的情况下。 相似文献