钟成, 李卉, 黄先锋, 李德仁. 利用6元组松弛法自动配准LiDAR数据与航空影像[J]. 武汉大学学报 ( 信息科学版), 2009, 34(12): 1426-1430.
引用本文: 钟成, 李卉, 黄先锋, 李德仁. 利用6元组松弛法自动配准LiDAR数据与航空影像[J]. 武汉大学学报 ( 信息科学版), 2009, 34(12): 1426-1430.
ZHONG Cheng, LI Hui, HUANG Xianfeng, LI Deren. Automatic Registration of LiDAR Data and Aerial Image Based on a 6-Tuples Relaxation[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1426-1430.
Citation: ZHONG Cheng, LI Hui, HUANG Xianfeng, LI Deren. Automatic Registration of LiDAR Data and Aerial Image Based on a 6-Tuples Relaxation[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1426-1430.

利用6元组松弛法自动配准LiDAR数据与航空影像

Automatic Registration of LiDAR Data and Aerial Image Based on a 6-Tuples Relaxation

  • 摘要: 提出了利用6元组松弛匹配方法实现LiDAR数据与航空影像自动配准的方法。根据建筑物的一般建造原则定义其角点,利用同一水平面的任意3个角点组成的三角形投影前后相似的特点,采用基于6元组的松弛法匹配同名角点,最后利用投影变形规律优化匹配结果。实验证明,该方法无需航空影像内外方位元素,与尺度差异、旋转角无关,基本实现了LiDAR数据与航空影像自动、精确配准。

     

    Abstract: It is difficult to register LiDAR data and photogrammetric image automatically with traditional methods because of their different imaging manners.We presented a novel method based on a 6-tuples relaxation.First,the intersection of two edges perpendicular to each others is defined as building corner.Then,the rule that triangle consist of three corners with same height is similar with its projection is used to match corners with the 6-tuples relaxation.Finally projection distortion is used to optimize matching.Experimental results prove that the proposed method registers LiDAR data and photogrammetric image automatically and precisely without interior or exterior orientations,and immune to affines and rotations.

     

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