综合多种特征的后方交会法

为了解决摄影测量、计算机视觉领域中缺乏明显特征点给后方交会带来的难题，基于广义点摄影测量理论，提出了利用水平线、垂直线、线段与水平圆的综合多种特征的后方交会法，论述了该方法的数学模型及适用范围。模拟数据与真实数据的实验结果表明，该方法切实可行，能够极大地减少传统后方交会法对特征点的依赖，多余观测量的引入也能够在一定程度提高计算结果的精度与稳定性。

A Space Resection Synthesized the Multiple Features

In order to resolve the current problems of Space Resection caused by lacking of obvious feature points in applications of photogrammetry, computer vision field, a new method of Space Resection based on the generalized point photogrammetry theory is proposed, put forward by using horizontal and vertical line, line segment and circle, the mathematics model of the method and its application range are discussed. Simulated and real experimental results show that the proposed approach is feasible in practice, and can greatly reduce the dependence of traditional resection method on feature points, and the introduction of the redundant observation value can also improve the accuracy and stability of the calculation results to a certain extent.