Asian Surveying & Mapping
Breaking News
Safran, SatSure partner to develop geospatial intelligence solutions for India
French aerospace giant Safran Electronics & Defense and Indian...
Singapore unveils road map to help develop international business standards and conformance
Singapore has unveiled plans to help develop international standards...
Adelaide University to run space and defence venture launchpad ahead of Australian Space Forum
Adelaide University’s Innovation & Collaboration Centre (ICC) will deliver...
Japan’s H3 rocket returns to space with successful launch after December setback
Japan’s flagship H3 rocket has returned to flight six...
KONGSBERG accelerates seabed mapping developments with Ocean Exploration Trust expedition aboard Exploration Vessel Nautilus
KONGSBERG and the Ocean Exploration Trust (OET) are set...
Russian satellites linked to mysterious GPS disruptions across several countries
Since 2019, GPS signals across Europe, Greenland and Canada...
Isro’s Bahubali LVM3 that launched Chandrayaan-3 to be handed to private sector
IN-SPACe has invited Indian companies to take over the...
India to host 13th UN Global Geospatial Information Management Asia-Pacific Conference
India is hosting the 13th United Nations Global Geospatial...
Unseenlabs’ BRO-22 to Become the First Foreign Private Satellite Launched Aboard Japan’s H3 Launch Vehicle
Scheduled for June 10, between 09:53 and 11:52 a.m....
PLD Space increases investment in its Launch Complex at the Guiana Space Centre (CSG) to €35M, strengthening Europe’s sovereign space infrastructure
The investment is expected to generate approximately €21 million...

February 1st, 2012
VRMesh V7.0 Announced for LiDAR Point Cloud Classification

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. It provides a next-generation solution to automatically extract vegetation, buildings, and ground points from LiDAR data, no matter the data is gathered from steep slopes covered with dense vegetation or areas where there is very few ground points available.

Key features of VRMesh Survey empower users to:

  • Automatically classify LiDAR point clouds with high accuracy.
  • Extract building footprints and create 3D buildings in one click.
  • Detect powerlines and conduct a clearance analysis.
  • Create a grid surface or an accurate meshed surface from point clouds.
  • Import and export the shape file.
  • Batch process multiple files.

Please stop by Booth 95 at ILMF 2012 for a live demonstration. We are pleased to show you our innovative technologies. We provide stand-alone applications, and also provide customized versions upon customers’ specifications.