Airborne lidar point cloud filtering is the key of acquiring DSM and DEM with high precision.
机载激光点云数据滤波是获取高精度数字表面模型和数字高程模型的关键。
It gets the intentionally conclusions from analysing the accuracy of point cloud data with the different filtering methods, the different point cloud density, the different terrain conditions.
最终结果便是以上述不同滤波方法、不同点云密度、不同地形条件的组合进行分析，并得出有意的结论。
As a key of airborne laser data processing, the filtering of point cloud has been an important prerequisite and research focus of data applications.
作为机载激光雷达数据处理的关键环节，激光雷达点云滤波一直是数据应用的重要前提和研究热点。
Our filtering service is a third-party cloud service provider, which filters Bitcoin transactions, and sends only relevant transactions to nodes that have registered for the service.
我们过滤服务是由第三方云服务商提供的，用于过滤比特币交易，且仅发送相关交易节点的注册服务。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
The main content includes the design of original data collecting system, Image preprocessing, selection and algorithm of filtering method, points cloud creating, reconstruction of 3d CAD model.
主要研究内容包括：数据采集系统设计、图像预处理、滤波方法的选择及其算法、点云生成、三维CAD模型重构。
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