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Geoverse

Merrick & Company
5970 Greenwood Plaza Blvd.
80111 Greenwood Village
United States of America

Specifications

  • Year of last update
    2015
  • Year of initial introduction
    2013
  • Modules
    Geoverse MDM Geoverse Convert solidscan
  • Source of Point Clouds
    Airborne Lidar, Indoor TLS, Outdoor TLS, Photogrammetric, Radar
  • Supported Systems
    Supports any 3D point cloud
  • RAM [GB]
    1
  • HD [GB]
    1.5
  • Use of GPU
    N
  • Processor (CPU)
    32-bit, 64-bit
  • Stereo Display
    Y
  • Stand-alone
    Y
  • Image matching facilities
    N
  • Frequency domain decoding for data reduction
    Yes, \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Unlimited Detail\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"
  • Removal of individual outliers
    N
  • Removal of vegetation
    N
  • Removal of buildings
    N
  • Bare ground DEM generation
    N
  • 3D Coordinates extraction
    Y
  • Length and Height
    Y
  • Angle
    Y
  • Distance
    Y
  • Area
    Y
  • Volume
    N
  • Regular Grid DEMs
    N
  • Cross sections
    N
  • TIN
    N
  • Contour Lines
    N
  • Break lines
    N
  • Boundary detection of solids
    N
  • Building footprints
    N
  • Building roofs
    N
  • 3D City modelling
    No
  • Lines
    N
  • Planes
    N
  • Cubes
    N
  • Spheres
    N
  • Cylinders
    N
  • NURBS
    N
  • Industrial features
    No
  • Earth surface features
    No
  • Line of sight
    N
  • Aspect and slope
    N
  • Individual tree heights
    N
  • Simulation facilities
    No
  • Time series analysis
    Y
  • Support
    Yes, online / phone
  • Training
    Yes, as needed
  • Typical applications
    3D Data dissemination, visualization, andmanagment
  • Distinguishing features
    Immediate access to all LiDAR or 3D point data, no matter the size or density Full resolution data visibility at all times – no data thinning or point decimation Load times are less than one second, no matter how large the dataset - no waiting for data to load into RAM Load times and speed of performance are not related to the size or density of the data Points are stored in a compressed format (lossless or lossy compression available) No dependency on high end computer hardware Secure Internet streaming of true 3D point cloud data

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