Global Mapper’s Custom Point Cloud Classification Training Tool has been selected by GeoWeek and LIDAR Magazine for the Outstanding Innovation in Lidar Award. It really is great to be recognized for ...
With Pix4Dmapper 4.0 you get machine-learning tools for photogrammetry applications in your hands. It allows you to classify 3D point clouds into categories like buildings, roads or vegetation. And ...
The task of point cloud classification suffers from the problem of insufficient data, and data augmentation is an effective method to alleviate this problem. However, the effect of conventional ...
A new Custom Feature Classification (Beta) tool allows users to define custom classifications based on user-created training samples. Version 25 includes a new custom point cloud classification ...
Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...
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