VRMesh Survey

A next-generation solution for automatic point cloud classification and feature extraction. It automatically extracts vegetation, buildings, and ground points from airborne and mobile LiDAR data. 99% classification jobs can be automatically done with high accuracy. It allows you to extract building footprints and create 3D buildings in one click. It has the ability to detect powerlines and conduct a clearance analysis. It also provides comprehensive functionalities to generate accurate triangle meshes.

Unlike traditional LiDAR data processing workflows that have to extract ground points first before classifying vegetation and buildings, the first fundamental step in VRMesh Survey is to detect vegetation. The major benefit of our workflow is its unique ability to automatically classify point clouds under extreme variations in terrain, no matter the data is gathered from steep slopes covered with dense vegetation or areas where there is very few ground points available.

Features and Benefits

• Automatically extract ground points under extreme variations in terrain

• Automatically detect hidden man-made structures under canopies

• Automatically extract complex footprints from dense residential neighborhoods

• Automatically create 3D building models

• Provide powerline detection and clearance analysis tools

• Provide manual classification tools in a cross-section view

• Provide advanced point cloud decimation and triangulation tools

• Support batch processing of multiple files

• Support LAS standard (1.0, 1.1, 1.2, and 1.4) and the ShapeFile format

LiDAR Processing Examples:

>> Extract Building Footprints and Create 3D Buildings
>> Extract Bare Earth
>> Powerline Detection and Clearance Analysis
>> Remove Vegetation
>> Point Cloud Classification
Automatic classification		Manual classification in a cross-section view
>> Extract Terrain Contours
>> Calculate Volume

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