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PCI Geomatics GXL (Large Volume Production System)

GXL is a geospatial image-processing powerhouse
designed to leverage modern computing hardware
unlike any other system on the market.

  • PCI Geomatics GXL (Large Volume Production System)
PCI Geomatics
90 Allstate Parkway / Suite 501
L3R 6H3 Markham
Canada

Description

GXL is a geospatial image-processing powerhouse designed to leverage modern computing hardware unlike any other system on the market.

Specifications

  • Year of introduction
    2008
  • Year of last update
    2017
  • Modular
    GXL is a modular, scalable and flexible system with a unique parallel processing architecture that is ideally suited for large volume processing. Based on the Geomatica platform, GXL features a job processing system that manages data and processing servers in a dynamic and efficient manner. Large country wide mosaics or other custom workflows (based on over 550 algorithms available through the Geomatica platform) can be executed and scaled for rapid processing.
  • License configuration
    Floating (demonstration licenses available)
  • Regional settings available
    English, Chinese, Spanish
  • System includes hardware
    Y
  • Operating system(s)
    Windows 7 / 8.x, 10 and LINUX
  • CPU (min.)
    2.2 GHz or higher
  • CPU (preferred)
    Multiple core processors recommended
  • Min. RAM memory [Mb]
    256
  • Preferred RAM memory [Mb]
    8
  • Min. data storage capacity [Gb]
    1
  • Preferred data storage capacity [Gb]
    100
  • Min. graphic card
    24-bit Windows graphics card or accelerator
  • Supported special hardware
    GPU cards, specific system architecture normally configured through consultation with GXL delivery team.
  • User definable operations and extensions
    Rest API, custom interface development is possible
  • 64-bit version of software available
    Y
  • Distributed processing capacity
    Y
  • GPU based calculations
    Y
  • Preferred graphic card
    24-bit Windows graphics card or accelerator
  • Min. display memory [Mb]
    256
  • Pref. display memory [Mb]
    256
  • Resolution
    1280 x 1024 or higher
  • Method of stereo image separation
    Analglyph
  • Supported image sources
    http://www.pcigeomatics.com/pdf/GXL2017-SensorList.pdf
  • Input image formats
    http://www.pcigeomatics.com/pdf/GXL2017-SensorList.pdf
  • Export data formats
    http://www.pcigeomatics.com/pdf/GXL2017-SensorList.pdf
  • Scanned analogue Aerial Photos
    N
  • Digital Aerial Nadir Frames
    Y
  • Oblique Images
    N
  • Linear array sensors
    Y
  • Optical Satellite Images
    Y
  • UAS Images
    Y
  • Radar Images
    Y
  • Automatic contrast manipulations
    Y
  • Spatial convolution
    Y
  • Resampling
    Yes (NN, Bicubic, Cubic Convolution)
  • Radiometric corrections
    Y
  • Radiometric adjustment for mosaicing
    Y
  • Automatic interior
    Y
  • Relative
    Y
  • Automatic aerotriangulation
    Y
  • Automated blunder detection
    Y
  • Self calibration
    Y
  • Automatic Relative
    Yes
  • images simultaneously processed
    Y
  • Automatic matching
    World leading, high quality 1:1 DSM from stereo imagery from aerial or satellite platforms. ADS support, and Semi-Global Matching methods implemented.
  • Automatic breakline extraction
    Y
  • Checking facilities (DEM editing)
    Y
  • Automatic contour generation
    Y
  • Mosaicing of orthoimages
    Y
  • True orthoimage generation
    Y
  • Dense DSM creating capability
    Y
  • DSM to DTM filtering
    Y
  • Dense Image Matching
    Y
  • Mapping facilities
    Y
  • Semi-automatic corner point extraction
    Y
  • Semi-automatic line feature extraction
    Y
  • Semi-automatic building extraction
    Y
  • 3D superimposition
    N
  • Integration with scanned maps
    Y
  • Integration with 2D vector maps
    Y
  • Integration with 3D vector maps
    Y
  • Integration with point clouds
    N
  • Automatic texturing
    N
  • Length
    Y
  • Area
    Y
  • Volume
    Y
  • Main applications
    Agriculture, Mining, Forestry, Maritime, Synthetic Aperture Radar
  • Distinguishable features
    Scalable, high speed processing.

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