A Fast Aerial Image Matching Method Using Airborne LiDAR Point Cloud and POS Data  

作　　者：Yongjun ZHANG Xiaodong XIONG Mengqiu WANG Yihui LU 

机构地区：[1]School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China

出　　处：《Journal of Geodesy and Geoinformation Science》2019年第1期26-36,共11页测绘学报（英文版）

基　　金：The National Natural Science Foundation of China under Grants(41171292,41322010);The National Basic Research Program of China(973 Program)(2012CB719904).

摘　　要：A novel tie point matching algorithm of aerial images with the assistance of airborne LiDAR point clouds and POS data is proposed Firstly,the conjugate point searching strategy used in traditional correlation coefficient matching is improved and a fast algorithm is presented.Secondly,an automatic camera boresight misalignment calibration method based on virtual ground control points is proposed,and then the searching range of image matching is adaptively determined and applied to the image matching of the entire surveying area.Test results verified that the fast correlation coefficient matching algorithm proposed in this paper can reduce approximately 25% of the matching time without the loss of matching accuracy.The camera boresight misalignment calibration method can effectively increase the accuracy of exterior orientation elements of images calculated from POS data,and thus can significantly improve the predicted position of conjugate point for tie point matching.Our proposed image matching algorithm can achieve superior matching accuracy with multi-scale,multi-view,and cross-flight aerial images.

关 键 词：arial image TIE point MATCHING FAST correlation MATCHING CAMERA boresight MISALIGNMENT LiDAR 

分 类 号：P237[天文地球—摄影测量与遥感]