Classifying Point Clouds with the Push of a (few) Button(s)!
If you are working with any type of point cloud data, Global Mapper Pro is a powerful, must-have software. One of the standout features is its ability to automatically identify and apply the appropriate ASPRS classification to each point with a few clicks. This blog will walk through the basic steps required to automatically classify a point cloud.
Global Mapper Pro’s Point Cloud Analysis tool provides the means to classify a point cloud, including built-in automatic tools for identifying ground, buildings, utility lines and poles, vegetation, and noise points within an unclassified point cloud. There are multiple methods available for these classifications, including gridded and segmentation-based. You can read more about them in this blog that details the release of the new point cloud processing tools.
To identify other unique features in the point clouds outside of the built-in classifications, you can train a custom classification tool by following these steps.
As of version 25, all point cloud classification tools are found in the Automatic Point Cloud Analysis tool. Looking at the tool, you can see there are multiple collapsable sections separated based on function. Here’s a basic introduction:
When you load a point cloud into the software, the color of the points is determined by the Color Lidar by dropdown menu. Points can be displayed using several different attributes, including elevation (default), intensity, and classification. For this process, we will color the Lidar by classification. If your point cloud has never been classified, it will look similar to this: