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, as well as aerial images. 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 also has the ability to detect powerlines and conduct clearance analysis.

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 on steep slops Automatically detect hidden man-made structures under canopies Automatically extract building footprints from dense urban areas Automatically create 3D building models Provide powerline detection and clearance analysis tools Provide manual classification tools in a cross-section view Support batch processing of multiple files Support the LAS and ShapeFile formats

LiDAR Processing Examples:

>> Detect vegetation and extract ground points
Airborne LiDAR       Mobile LiDAR       Aerial photography
>> Detect hidden man-made structures
>> Extract ground points on steep slops
>> Extract building footprints and create 3D buildings
>> Powerline detection and clearance analysis
>> Detect planes in point clouds
Example 1	Example 2
>> Point cloud classification
Automatic classification	Manual classification in a cross-section view
>> Extract Terrain Contours

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