机载激光雷达点云与定位定姿系统数据辅助的航空影像自动匹配方法

测绘学报

机载激光雷达点云与定位定姿系统数据辅助的航空影像自动匹配方法

张永军¹,熊小东²,王梦秋¹,鲁一慧²

1. 武汉大学遥感信息工程学院
2. 武汉大学

收稿日期:2012-12-17 修回日期:2013-06-12 出版日期:2014-04-20 发布日期:2014-02-18
通讯作者: 张永军
基金资助:
高分测绘卫星动态成像质量与非平稳像移的多参数耦合机理研究;国家973计划项目;地球空间环境与大地测量教育部重点实验室开放基金;国家自然科学基金;地球空间环境与大地测量教育部重点实验室开放基金

Automatic Tie Point Matching of Aerial Images Acquired by LiDAR System

Received:2012-12-17 Revised:2013-06-12 Online:2014-04-20 Published:2014-02-18

摘要/Abstract

摘要：

本文针对LiDAR点云和POS数据辅助航空影像的连接点自动匹配，设计了用于相关系数匹配的最佳匹配点位快速搜索算法；提出一种基于虚拟地面控制点的相机安置角误差自动检校方法，在此基础上自适应确定影像匹配搜索范围。试验结果表明，本文提出的最佳匹配点位快速搜索算法可在保证匹配正确性的情况下节省约25%的匹配耗时；相机安置角误差补偿方法能够有效地提高由POS数据计算的影像外方位元素的精度，从而明显改善同名点匹配时的点位预测精度；本文算法能处理多分辨率、多视角的交叉飞行航空影像，获得高精度的匹配结果。

关键词: 航空影像, 连接点匹配, 快速相关系数匹配, 相机安置角, LiDAR

Abstract:

Aerial images tie points matching is conducted with the assistance of LiDAR points and POS data. Fast searching algorithm for obtaining conjugate point in correlation matching is devised. An automatic boresight misalignment calibration method based on virtual ground control points is adopted, on base of which the searching range of image matching is adaptively determined. The experimental results indicate that the fast searching algorithm proposed in this paper can reduce 20% of the matching time while ensuring the matching correctness. The camera boresight misalignment calibration method can effectively refine the accuracy of exterior orientation elements of images derived from POS data, and significantly improve the precision of predicted point position for tie points matching. The matching algorithm proposed in this paper can process multi-scale, multi-angle, cross-flight aerial images and obtain a high matching accuracy.

Key words: Arial Image, Tie Point Matching, Fast Correlation Match, Boresight Misalignment, LiDAR

中图分类号:

P237

张永军熊小东王梦秋鲁一慧. 机载激光雷达点云与定位定姿系统数据辅助的航空影像自动匹配方法[J]. 测绘学报.

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