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SURE

nFrames GmbH
Kornbergstr. 36
70176 Stuttgart
Germany

Specifications

  • Year of introduction
    2013
  • Year of last update
    2018
  • Modular
    SURE delivers 2.5D and 3D point clouds, fotorealistic textured meshes and true orthophotos in a streamlined full automatic integrated process with image processing techniques. The product uses imagery from classic aerial cameras, multi-head oblique systems, drone cameras as well as most consumer-grade terrestrial cameras. SURE stands for a maximum of details and quality of its deliverables such as acquiring one 3D point per image pixel. For 3D city-models and perfect trueorthos, SURE creates surface models with outstanding sharp edges e.g. at buildings. Standard exchange formats for input and output guarantee for full connectivity to 3rd party workflows. Sophisticated quality assurance is available as well as the possibility to pause within the process, do edits and feed refined intermediate results back into the workflow. The full package is completed with a mesh editor to optionally refine deliverables for maximum quality. SURE perfectly scales with the size of your datasets and with the computing environment that is provided. Power-users benefit fom its distributed processing capabilities. nFrames has its roots in the research department of the Stuttgart University for photogrammetry. Its success is founded on the ongoing collaboration with more than 300 researchers world-wide to create a high-performance product that can be used without need for photogrammetric expertise. SURE technology is also available for integrators through existing libraries and APIs. SURE Aerial – for classic photogrammetric processing with airborne cameras SURE Pro – for smaller projects, drone data and terrestrial close-range products SURE Editor – sophisticated mesh-editing and refinement
  • License configuration
    14 day trial version after free download
  • Regional settings available
    English language, support of all units
  • System includes hardware
    N
  • Operating system(s)
    Windows, Linux
  • CPU (min.)
    64 Bit processor
  • CPU (preferred)
    Intel i7 or Xeon
  • Min. RAM memory [Mb]
    8000
  • Preferred RAM memory [Mb]
    32000
  • Min. data storage capacity [Gb]
    1
  • Preferred data storage capacity [Gb]
    4000
  • Min. graphic card
    Any
  • Supported special hardware
    Nvidia graphics cards. Runs on almost every common hardware and operating system.
  • User definable operations and extensions
    > 24 Threads or distributed processing cluster
  • 64-bit version of software available
    Y
  • Distributed processing capacity
    Y
  • GPU based calculations
    Y
  • Preferred graphic card
    Nvidia with CUDA support and 6GB memory
  • Min. display memory [Mb]
    512
  • Pref. display memory [Mb]
    6000
  • Resolution
    Any
  • Method of stereo image separation
    Stereo image matching is performed using a hierarchical variation of the Semi Global Matching (SGM) approach called tSGM.
  • Supported image sources
    Airborne large and medium frame, close range, UAS, mobile mapping. Support of Nadir and Oblique imagery. Orientation information can be imported from Trimble Inpho-Match-AT, Trimble UASMaster or Trimble Business Center Photogrammetry, Pix4D Mapper, Agisoft Photoscan, Visual SFM, Bundler and more.
  • Input image formats
    TIF (8 & 16 Bit, up to four channels, also tiled and pyramids), PNG (8 & 16 Bit), JPG (8 Bit)
  • Export data formats
    TIF, GeoTIF, LAS, LAZ, PLY, TXT
  • Scanned analogue Aerial Photos
    Y
  • Digital Aerial Nadir Frames
    Y
  • Oblique Images
    Y
  • Linear array sensors
    N
  • Optical Satellite Images
    N
  • UAS Images
    Y
  • Radar Images
    N
  • Automatic contrast manipulations
    Y
  • Spatial convolution
    N
  • Resampling
    Automatic
  • Radiometric corrections
    Y
  • Radiometric adjustment for mosaicing
    Y
  • Automatic interior
    N
  • Relative
    N
  • Automatic aerotriangulation
    N
  • Automated blunder detection
    N
  • Self calibration
    N
  • Automatic Relative
    import of 3rd party exterior orientation formats
  • Automatic matching
    Semi-Global-Matching variation (tSGM). By efficiently matching on stereo models and subsequently merging the result in the point cloud generation, low noise point clouds with quality information can be retrieved. Hierarchical approaches speed up the process and enable the support of depth large variations in the scene.
  • Automatic breakline extraction
    N
  • Checking facilities (DEM editing)
    Y
  • Automatic contour generation
    N
  • Mosaicing of orthoimages
    Y
  • True orthoimage generation
    Y
  • Dense DSM creating capability
    Y
  • DSM to DTM filtering
    N
  • Automatic seam line creation
    Y
  • Dense Image Matching
    Y
  • Mapping facilities
    N
  • Semi-automatic corner point extraction
    N
  • Semi-automatic line feature extraction
    N
  • Semi-automatic building extraction
    N
  • 3D superimposition
    Y
  • Integration with point clouds
    Y
  • Automatic texturing
    Y
  • Length
    Y
  • Area
    N
  • Volume
    N
  • Main applications
    City Modeling, Smart Cities, Area Mapping, Landcover Mapping, Cadastre, Environmental Research, Agriculture, Forestry, Construction, Energy, Powerline Mapping, Pipeline Mapping, Inspection, Risk Assessment, Forensics, Navigation, Classificaton, Change Detection,
  • Distinguishable features
    - Scalability - Sharpedges, lownoise - clustercomputation / tiling - high redundancy / reliability - Autoparameters - streamed meshediting - Fotorealistic 3Dmesh - standardized formats - Best imagecheck - trueortho - Onestop / multistep

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