机载激光扫描测高数据分层迭代选权滤波方法及其质量评价  

Adaptive Hierarchical and Weighted Iterative Filtering of Airborne LIDAR Data and Its Quality Assessment

作　　者：刘经南[1] 许晓东 张小红[3] 程世来[3] 

机构地区：[1]武汉大学校长办公室,武汉市430072 [2]广州地质勘察基础工程公司,广州市510075 [3]武汉大学测绘学院,武汉市430079

出　　处：《武汉大学学报（信息科学版）》2008年第6期551-555,共5页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(40504001);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

摘　　要：提出了一种基于分层思想的自适应数据滤波方法。该方法采用迭代选权方法的基本思想,在实现中加入了自适应与分层的思想,使其也可用于处理城区点云数据。提出了滤波方法评价体系,并对该滤波方法进行了评价。Airborne LIDAR technology has a capability to capture the ground information quickly, and has special advantages in many application fields. Filtering is one of the key processes in the processing of airborne LIDAR data. Firstly, an adaptive filtering methodology based on hierarchy model is initiated. Employing the fundament of weighted iteration and combining with the adaptive hierarchy process in the practice, the algorithm can perform the filtering of the cloud points data in the city zone. Then the result of it＇s practical experiment is given. Finally the qualitative filtering assessment in allusion to the algorithm pro- posed is discussed in detail.

关 键 词：机载激光扫描测高技术 滤波 选权迭代法 分层 质量评价 

分 类 号：P228.3[天文地球—大地测量学与测量工程]