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Racurs DPW PHOTOMOD

Digital Photogrammetric Workstation

PHOTOMOD provides a closed production cycle, and involves the generation of many kinds of value-added products: digital maps, DEM, orthomosaics, 3D-vectors without the use of third party solutions. The PHOTOMOD software complex is used in all areas where metric information about the Earth with maximal precision is required.

  • Racurs DPW PHOTOMOD
Racurs
Ul. Yaroslavskaya, 13A, office 15
129366 Moscow
Russia

Description

This state-of-the-art software allows the extraction of geometrically accurate spatial information from almost all commercially available types of imagery, whether obtained by film or digital cameras, UAS, high resolution satellite scanners. 

PHOTOMOD is a modular system. This allows users to obtain maximum benefit from its high level of flexibility. Each module performs specific operations during a certain stage of processing. Configure for optimal system production. Buy only the modules you need for your particular workflow. Easy operation. User interface of each module is optimized for module functions. Still, general interface elements remain uniform throughout the system.

Though highly integrated through the sharing of project data, each module has a unique place in the overall workflow, making it possible to construct consistent project processing sequences. The fundamental concept of PHOTOMOD is to enable projectwork through a series of well-defined steps (data preparation, block adjustment, processing) and provide the support of a flexible set of tools at every stage.

Specifications

  • Year of introduction
    1994
  • Year of last update
    2022
  • Modular
    Core; AT; SolverA; SolverS; DTM; dDSM, StereoDraw; Mosaic; GeoMosaic; GeoCalculator, StereoMeasure
  • License configuration
    Lite and time limited versions
  • Regional settings available
    English, Chinese, Greek, Russian, Spanish
  • System includes hardware
    N
  • Operating system(s)
    Windows 7, 8, 10
  • CPU (min.)
    Intel Core i7 (4 cores)
  • CPU (preferred)
    Intel Core i7 (6 cores)
  • Min. RAM memory [Mb]
    4000
  • Preferred RAM memory [Mb]
    32000
  • Min. data storage capacity [Gb]
    1000
  • Min. graphic card
    NVIDIA Quadro K2000
  • Supported special hardware
    3D mice; stereomonitors
  • User definable operations and extensions
    not applicable
  • 64-bit version of software available
    Y
  • Distributed processing capacity
    Y
  • GPU based calculations
    Y
  • Cloud processing
    Available at https://www.geocloud.work/
  • Preferred data storage capacity [Gb]
    2000
  • Hardware handling of big data sets
    CUDA for DSM
  • Min. display memory [Mb]
    1024
  • Pref. display memory [Mb]
    2048
  • Resolution
    1280 × 1024 (min)
  • Method of stereo image separation
    anaglyph; OpenGL Stereo
  • Source data
    Aerial, satellite, UAS images
  • Input image formats
    TIFF; BMP; RSW; SIT; IMG; NITF; JPEG; GIF; PNG; PIX; JPEG2000; satellite scanner images; ADS 40/80; A3 SLF
  • Export data formats
    many popular
  • Scanned analogue Aerial Photos
    Y
  • Digital Aerial Nadir Frames
    Y
  • Oblique Images
    Y
  • Linear array sensors
    Y
  • Optical Satellite Images
    Y
  • UAS Images
    Y
  • Radar Images
    Y
  • Mission planning
    N
  • Automatic contrast manipulations
    Y
  • Spatial convolution
    Y
  • Resampling
    Y
  • Radiometric corrections
    Y
  • Radiometric adjustment for mosaicing
    Y
  • Automatic interior
    Y
  • Relative
    Y
  • Automatic aerotriangulation
    Y
  • Automated blunder detection
    Y
  • Self calibration
    Y
  • images simultaneously processed
    Y
  • Automatic Relative
    Y
  • Batch processing
    Yes
  • Scripting language
    No
  • Automatic matching
    Y
  • Automatic breakline extraction
    N
  • 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
  • Automatic seam line creation
    Y
  • Dense Image Matching
    Y
  • Georeferencing / method of georeferencing
    By using: GPS/IMU data, GCPs, vector map, external orthophoto
  • Other presentation options
    Colored, shaded
  • Mapping facilities
    Y
  • Semi-automatic corner point extraction
    Y
  • Semi-automatic line feature extraction
    Y
  • Semi-automatic building extraction
    Y
  • 3D superimposition
    Y
  • Integration with scanned maps
    Y
  • Integration with 2D vector maps
    Y
  • Integration with 3D vector maps
    Y
  • Integration with point clouds
    Y
  • Automatic texturing
    N
  • Length
    Y
  • Area
    Y
  • Volume
    Y
  • lengte / area / volume
    Y
  • Stereoscopic measurements
    Y
  • Vegetation index calculation
    Used internally for DTM/DSM filtering
  • Automatic classification
    Water, low, medium and high vegetation, buildings, ground - used internally for DTM/DSM filtering
  • Main applications
    Spatial aerial triangulation, Digital terrain models, 2D and 3D-vectorization, Orthorectification and mosaic creation, 3D-modeling, Map making
  • Distinguishable features
    price; high productivity; modular configuration; no third party products needed; network configurations; quality control; ease of use

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