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

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.