组合CCD图像和稀疏激光测距数据的建筑物三维信息提取  

Reconstructing 3D buildings based on airborne CCD image and laser scanning rangefinder data

作　　者：尤红建[1] 张世强[1] 

机构地区：[1]中国科学院遥感应用研究所,北京100101

出　　处：《光学精密工程》2006年第2期297-302,共6页Optics and Precision Engineering

基　　金：国家自然科学基金(No.40201035);测绘遥感信息工程国家重点实验室开放基金(No.wkl(02)0105)资助项目

摘　　要：对组合高分辨率航空CCD图像和机载稀疏激光扫描测距数据自动提取城市建筑物的三维信息进行了研究。航空CCD图像能清晰地给出建筑物的几何形状和分布,因此采用了自适应的Canny边缘检测算法来提取CCD图像上的全部边缘信息,然后根据双向投影直方图和线段匹配方法来自动而准确地提取建筑物的平面轮廓信息,最后根据CCD提取的轮廓信息从机载激光扫描测距数据中提取建筑物的高度信息,从而实现了每栋建筑物的三维信息提取。通过实际数据的处理和提取,说明了组合CCD图像和机载激光扫描测距数据可以自动重建建筑物的三维信息。3D building reconstruction automatically using airborne CCD image and laser scanning rangefinder data was studied. The geometry shape of building is shown clearly in airborne high resolution CCD image, so adaptive Canny edge detection operator is used to extract the edges of buildings first, and cross direction projection histogram＇ and line matching are used to extract the contours of buildings. The height of the building is determined from laser sample data based on the contour of the building, then the 3D information of each building is reconstructed. The practical data processing results show that 3D buildings are reconstructed correctly by using real airborne CCD image and laser rangefinder data.

关 键 词：CCD图像 激光扫描测距 轮廓提取 三维重构 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]