一种预判随机抽样算法在像控点测量中的应用

像控点测量是航空摄影测量工作中必不可少的环节。为有效适应现代化航空摄影测量技术对像控点测量的要求,本文基于预判参数模型,利用RANSAC函数对SIFT匹配算法进行改进,并采用Visual Studio C++和Open CV组件进行算法实现。实验结果表明,将改进后的算法应用到实际的像控点测量工作当中,不但能为航空影像匹配、像控点快速定位提供有效支持,并且能提高像控点测量野外作业的生产效率。

Applications of Preview Random Sampling Algorithm at Photograph Control Point Survey

Photograph control point survey is an essential part of aerophotogrammetry .In order to adapt to the re-quirement of modern technology of aerophotogrammetry ,this paper used RANSAC function to improve SIFT algorithm on the basis of the anticipation parameter model ,and used Visual Studio C++and OpenCV components to implement the al-gorithm.the result shows that ,applying the improved algorithm to the photograph control point survey can not only effec-tively support the aerial image matching and rapid positioning of photograph control point ,but also improve the production efficiency of photograph control point survey in field operations .