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。
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.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第12期1426-1430,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40701154)
国家863计划资助项目(SQ2006AA12Z108506)
测绘遥感信息工程国家重点实验室开放研究基金资助项目
国家测绘局西部测图工程项目部资助项目
关键词
LiDAR
航空影像
角点提取
相似三角形
松弛法
LiDAR
aerial image
extraction corners
similar triangles
relaxation matching
作者简介
钟成，博士。主要从事激光雷达数据处理和城市三维重建研究。E—mail：zhonglxm@126．com
