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nFrames GmbH SURE Editor

Refine Meshes with maximum streaming capability - Sharpen edges, remove peaks and more...

SURE Editor provides sophisticated tools to refine your automatically generated deliverables of SURE Aerial or SURE Pro. Whenever quality or layout of input imagery does not meet the photogrammetric requirements for high quality dense matching, SURE …

  • nFrames GmbH SURE Editor
nFrames GmbH
Kornbergstr. 36
70176 Stuttgart
Germany
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Description

SURE Editor provides sophisticated tools to refine your automatically generated deliverables of SURE Aerial or SURE Pro. Whenever quality or layout of input imagery does not meet the photogrammetric requirements for high quality dense matching, SURE Editor enables users to maximize the precision and quality of meshes and true orthophotos.

Visualize large amounts of data in a streaming viewer and use simple guided tools for edge sharpening, flattening, spike removal and much more...

 

Specifications

  • Year of introduction
    2017
  • Year of last update
    2018
  • Modular
    SURE Aerial - SURE Aerial Mesh Add-on - SURE Pro - SURE Editor
  • Regional settings available
    English language, support of all units
  • License configuration
    14 day trial version after free download, perpetual or rental options, 1 instance per computer
  • System includes hardware
    N
  • Operating system(s)
    Windows, Linux
  • CPU (min.)
    64 Bit processor
  • CPU (preferred)
    Intel i7 or Xeon
  • Min. RAM memory [Mb]
    16000
  • Preferred RAM memory [Mb]
    64000
  • 64-bit version of software available
    Y
  • Distributed processing capacity
    Y
  • GPU based calculations
    Y
  • Min. data storage capacity [Gb]
    1
  • Preferred data storage capacity [Gb]
    4000
  • Min. graphic card
    Any
  • Preferred graphic card
    Nvidia with CUDA support and 11GB memory
  • Supported special hardware
    Nvidia graphics cards. Runs on almost every common hardware and operating system.
  • User definable operations and extensions
    24 Threads per license (1 graphics card) scalable through distributed processing cluster
  • 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. Stereo visualization (anaglyph) is only avaliable for inspection of generated meshes.
  • 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
    True-Orthos: TIF, GeoTIF (multichannel, 8-16bit) - Pointclouds/DSM: LAS, LAZ, PLY, TXT - Meshes: OBJ, Cesium, Collada
  • 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
    Y
  • Radiometric corrections
    Y
  • Radiometric adjustment for mosaicing
    Y
  • Automatic interior
    N
  • Relative
    N
  • Automatic aerotriangulation
    N
  • Automated blunder detection
    N
  • Self calibration
    N
  • images simultaneously processed
    Y
  • Automatic Relative
    import of 3rd party exterior orientation formats and camera definitions including various distortion models
  • Automatic matching
    Semi-Global-Matching variation (tSGM). By efficiently matching on automatically selected stereo models and subsequently merging and refining 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
    Y
  • Semi-automatic line feature extraction
    N
  • Semi-automatic building extraction
    N
  • 3D superimposition
    Y
  • Integration with scanned maps
    N
  • Integration with 2D vector maps
    N
  • Integration with 3D vector maps
    N
  • Integration with point clouds
    Y
  • Automatic texturing
    Y
  • Length
    Y
  • Area
    Y
  • Volume
    N
  • Main applications
    City Modeling, Smart Cities, Area Mapping, Landcover Mapping, Cadastre, Environmental Research, Agriculture, Forestry, Construction, Mining, Infrastructure and Inventory, Energy, Powerline Mapping, Pipeline Mapping, Inspection, Risk Assessment, Forensics, Navigation, Classificaton, Change Detection, Volume computations
  • Distinguishable features
    Support for LiDAR/Nadir imagery/Oblique imagery, generate true orthos with highest quality and sharpest edges, generate fotorealistic color-balanced 3D-meshes and 2.5D-meshes, preserve details but expect low noise in pointclouds / dsm / meshes (suited for e.g. pole detection), be compatible through flexible input-/output formats, export into streaming (level-of-detail aware) formats (e.g. Cesium tiles, Collada...), perfectly scale production capacity to any project sizes and available hardware and budget, use a dynamic number of computers and licenses even during on-going processing for distributed processing with autonomous cluster management / automatic tiling, pre-deliver finished sub-areas before complete project finishes (homogeneous borders are guaranteed), rely on predefined parameters through application scenarios and automatic best model selection, effectively stream data from disc for visualization and mesh editing, leverage high redundancy / reliability, customize processing with onestop / multiste

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