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 ...
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 ...
The Global Mapper Insight and Learning Engine™ (Beta) provides trained models for land cover classification, vehicle identification, and building extraction. This update to Global Mapper includes ...
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 ...
Software developers can seamlessly integrate the Global Mapper SDK into projects for internal use or distribution. The Pro version of our v26.1 SDK offers performance improvements for lidar processing ...
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