Updated Pixels-to-Points Tool in Global Mapper LiDAR Module
Photogrammetric Point Cloud Generation From UAV Or Drone Images
Available with version 21 of Global Mapper software, the LiDAR Module offers improved functionality for users to generate photogrammetric point clouds from imagery with an enhanced Pixels-to-Points tool.
Pixels-to-Points provides automatic identification and reclassification of utility poles from a point cloud layer. Supplementing the existing powerline or utility cable reclassification capability, this addition identifies a cylindrical pattern of points in a high-density point cloud and reclassifies these points as power poles.
A common problem in photogrammetric analysis is the inclusion of large areas of uniformly colored pixels in the source images, such as sky or water. The new masking option in the Pixels-to-Points tool eliminates unrequired uniform background colors from images.
The original release of the LiDAR Module in version 15 of Global Mapper saw the introduction of the Pixels-to-Points tool. This addition to the Module allowed anyone collecting aerial images with embedded geotags, such as drone or UAV operators, to create a high-density point cloud, similar to LiDAR data. Using the additional functionality of the Module, this point cloud can subsequently be processed to identify and reclassify ground, buildings, and other common classification types and to filter and edit the data as required.
The Pixels-to-Points tool analyzes the relationship between recognizable objects in adjacent images to determine the three-dimensional coordinates of the corresponding surface. As a by-product of the point cloud generation capability, the Pixels-to-Points tool also offers the option of creating an orthorectified image, which effectively stitches the images together and adjusts them to reflect the inherent three-dimensional coordinates.