LiDAR数据与CCD影像融合算法研究  

Research on LiDAR and CCD Images Fusion Algorithm

作　　者：米晓峰[1,2] 李传荣[2] 苏国中[2] 黎荆梅[2] 

机构地区：[1]中国科学院研究生院,北京100039 [2]中国科学院光电研究院,北京100190

出　　处：《微计算机信息》2010年第10期113-114,122,共3页Control & Automation

基　　金：基金申请人:李传荣;基金颁发部门:国防科技工业局

摘　　要：依据新型遥感载荷LiDAR数据高程精度高、CCD面阵影像平面精度高的特点,本文提出一种基于点特征的激光点云与CCD影像高精度匹配的方法,研究了立体像对与激光点云联合同名点搜索算法和影像特征点与离散激光点迭代匹配求解算法,实现了一个像对区域的影像与点云高精度配准,获得了三维彩色点云影像。得到的影像既具光学影像的颜色纹理信息又具有LiDAR数据的高程信息,提高了地物目标识别解译的可靠性和量测的精度,也为更进一步的地物分类提供更为精确的原始数据。Based on the characteristics of the new remote sensing load LiDAR data＇s high height accuracy and CCD planar array high plane accuracy,this paper proposes a LiDAR and CCD Images matching method based on point features,and researches the stereo images combined correspondence points Search Algorithm and Images feature points with discrete laser points Iterative matching solving algorithm,and realize a high precision Images and LiDAR matching in a stereo images area,and get a three-dimensional color Image in the end.The Image has the color and texture information the light images have and the height information the LiDAR has,which can advance the accuracy of the ground object recognition and the measure precision,and it can provide a more accurate data for the ground object classify.

关 键 词：同名点匹配 激光雷达 方位元素 非线性最小二乘平差 空间后交 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]