finding the shortest and most efficient path between locations. 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. This simple tool can connect two locations, map multiple locations into a single path, or discover the most accessible location. Great for planning roads through a construction site, this tool is a quick and easy way to avoid the pitfalls of poor road planning. Generating A Photogrammetric Point Cloud Pixels to Points is a photogrammetric processing tool within Global Mapper Pro that creates photo-textured 3D models, orthoimages, and high-resolution point clouds via Structure from Motion (SFM) and Multi-View Stereovision. Using overlapping UAV-collected images, these generated data models can be used in Global Mapper to measure terrain volume, asses structures, create detailed base maps, and more. The new version 25 release improves the Pixels to Points tool, including significant speed advancements to decrease the processing time and revisions to the Input Wizard to streamline your workflow further than before. The Pixels to Points Input Wizard is designed to increase ease of use for existing users and make photogrammetric processing more approachable to new users by streamlining settings choices. Simply import your images and choose your most important output, including the option to run a quick output for quality assessment. Global Mapper adjusts the Pixel to Points settings to match your input, providing an optional follow-up option to tweak the settings if desired. Use the
primary dialog to add control points and assess more advanced settings such as masking and color harmonization. With Global Mapper Pro’s powerful point cloud processing tools, Pixels to Points provides a powerful and streamlined option for creating and editing your spatial data. Point clouds of all types, from lidar to photogrammetric, can be processed in Global Mapper Pro. Classifying A Dynamic Point Cloud Global Mapper Pro’s point cloud classification and editing tools are used in the workflows of many industries, from surveying and construction to agriculture. These built-in and scripable tools allow you to classify, extract vector features, create terrain data, and more, all within the same workspace in which the point cloud was generated. Along with accurate automatic classification tools within Global Mapper for buildings, ground, noise, and more, the Segmentation tool allows you to create dynamic, custom lidar classifications. Many objects represented in point cloud data have a ‘fingerprint’ of shared characteristics between the points made up of attributes such as intensity values, return number, normal, curvature, etc. The Segmentation tool lets you classify by these parameters to extract desired features from the point cloud. Segment a cloud by color to extract paint lines from roads, intensity values to distinguish cars, or by curvature to separate areas based on changes in slope. After classification, vector feature extraction tools can create 3D point, line, and area features to display structures, trees, and powerlines present in the data.
Whether working with lidar data, complex terrain surfaces, vector features, or looking to streamline workflows with Python, Global Mapper Pro can significantly improve your workflow. Download a free trial today to explore all the features available in Global Mapper Pro 25 at bluemarblegeo.com
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