摘要
机载激光雷达(LIDAR)技术可以快速的获取地表的高精度三维点云数据,在三维城市模型(3DCM)的构建等许多领域有着极其广泛的应用.目前对机载激光雷达数据的处理主要体现在对数据的滤波和分类,仅靠单一的LIDAR数据难以实现很好的效果.本文利用常熟市的激光雷达数据及其遥感影像作为基本数据源,提出将两者加以融合的思想对地物进行滤波和分类,达到了良好的效果.
Lidar can capture 3D geographical information quickly, it has been applied widely in the field of modeling of Three- Dimensional City Model （3DCM） and so on. The main object of LIDAR data processing is filtering and classification, The result is always not satisfied using LIDAR alone. In the paper, we treat the lidar data and the remote sensing images of Changshu City as the source data, an idea to extract objects by fusing lidar and remote sensing data, the result is good.
出处
《首都师范大学学报（自然科学版）》
2009年第4期6-11,共6页
Journal of Capital Normal University：Natural Science Edition
基金
国家自然科学基金(NSFC40601081)
北京市科技新星(2006B57)
国家科技支撑计划(2006BAJ15B01-02)资助
关键词
激光雷达数据
影像
滤波
分类
lidar data, Image, filtering, Classification
