By iterating through all possible options, it identifies the best route between specified point features across a terrain layer based on minimized terrain slope angle and avoiding unwanted areas. These settings can also be applied to further train existing classification methods to tailor the tool for particular datasets and workflows.Ī newly added Least Cost Path tool provides a terrain analysis method for finding the shortest and most efficient path between locations. Users can create their automatic point cloud classifications and train Global Mapper to find specific objects in their point clouds. Also included are new segmentation processes for ground and noise classifications, such as the segmentation-based “Max Likelihood” methods, which were previously only available for non-ground points, but are better tailored for modern point cloud generation and collection approaches.Ī new Custom Feature Classification (Beta) tool gives users the ability to define custom classifications based on user-created training samples. This integrated tool allows users to manage automatic classifications, segmentation, and feature extraction from one window, providing the ability to share settings and run multiple processes simultaneously. The Automatic Point Cloud Analysis tool is the new hub of point cloud classification and extraction in Global Mapper Pro. This update includes a new custom point cloud classification training tool, existing tools redesign, and significant Pixels to Points processing speed improvements. Hallowell, Maine – Septem– Blue Marble Geographics is pleased to announce the immediate availability of Global Mapper Pro version 25.
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