中国激光, 2013, 40 (5): 0514001, 网络出版: 2013-04-28   

三维激光点云与CCD影像融合的研究

Research on Fusion of 3D Laser Point Clouds and CCD Image
作者单位
首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048
摘要
提出了一种激光扫描数据和影像融合的方法,通过立体像对匹配获取精确匹配点,并与三维扫描点云进行最邻近迭代配准;在利用网格划分法进行的K邻近点搜索中,采用欧氏距离的选择权迭代逐步实现影像点与激光扫描点的精确配准;利用空间后方交会获取正确的外方位元素,通过摄站点、像点以及激光点之间的共线关系,在相对应影像上进行激光点的像素定位,并提取颜色属性信息。实验结果表明,该算法不但较好地实现了三维地面激光点云数据与CCD影像的精确融合,且对机载激光数据与影像的融合亦可行和有效。
Abstract
A fusion method of laser scanning and image is put forward. In this method, accurate matching point is obtained by stereo image matching firstly, and the adjacent iterative registration is finished with three-dimensional (3D) scanning points. In the searching of K adjacent point by grid partition method, the option iteration of Euclidean distance is used to gradually realize the accurate registration of image points and laser scanning points. Using the space resection for correct elements of exterior orientation, through the collinear relationship of projective center, image point and laser point, pixel location of laser point in the corresponding image is realized, and color attribute information is obtained. The experimental results show that the algorithm not only has a better performance to realize the accurate fusion of 3D surface laser points with CCD image, but also is feasible and effective for the fusion of airborne laser data with image.

邵杰, 张爱武, 王书民, 孟宪刚, 杨玲波, 王致华. 三维激光点云与CCD影像融合的研究[J]. 中国激光, 2013, 40(5): 0514001. Shao Jie, Zhang Aiwu, Wang Shumin, Meng Xiangang, Yang Lingbo, Wang Zhihua. Research on Fusion of 3D Laser Point Clouds and CCD Image[J]. Chinese Journal of Lasers, 2013, 40(5): 0514001.

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