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nFrames GmbH SURE - Empowering Photogrammetry

Full automatic 3D reconstruction and color-balanced true orthos from imagery with unsurpassed performance and flexibility - as simple as you want and as advanced as you need

Meet the nFrames Team at InterGEO 2018 to get the latest news on SURE 3.0.
SURE transforms imagery from classic aerial cameras, multi-head oblique systems, drone cameras as well as most consumer-grade terrestrial cameras into 2.5D or 3D data, such …

  • nFrames GmbH SURE - Empowering Photogrammetry
nFrames GmbH
Kornbergstr. 36
70176 Stuttgart
Germany
Contact supplier

Description

Meet the nFrames Team at InterGEO 2018 to get the latest news on SURE 3.0.
SURE transforms imagery from classic aerial cameras, multi-head oblique systems, drone cameras as well as most consumer-grade terrestrial cameras into 2.5D or 3D data, such as point clouds, fotorealistic textured meshes and true orthophotos in a streamlined full automatic integrated process with image processing techniques (tSGM). 

SURE is a synonym performance scalability and for outstanding quality. Pointclouds and meshes preserve maximum detail with one 3D point per image pixel while being almost free of noise. The exceptional sharpness of extracted edges are building the basis for unsurpassed 3D city-models and perfect seamless trueorthos. 

Standard exchange formats for input (e.g. with Trimble/Inpho MATCH-AT, Pix4D, Agisoft...) and output (e.g. Meshes in OBJ, Cesium and Collada) guarantee for full connectivity to 3rd party workflows. Sophisticated quality assurance even during ongoing processing is available as well as the possibility to pause and continue where the process was left-over. Customized workflows are existing to do edits and feed refined intermediate results or additional LiDAR data 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 distributed processing capabilities in autonomously managed dynamic computer clusters, where nodes and licenses (e.g. additional rentals) can be scaled-up even during ongoing processing. The splitting into subprojects and the distribution to the nodes is automatically organized with respect to easiest user experience while maintaining homogeneous quality throughout the whole project.

Additional data such as water polygons, aerea definition polygons or even LiDAR clouds can be leveraged to support processing.

The company nFrames has its roots in the research department of the Stuttgart University for photogrammetry.  Our 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. 

Available modules:

SURE Aerial – for classic photogrammetric processing with airborne cameras ( nadir or oblique ), including seamless color-balanced trueorthos, colored point clouds and DSM, 2.5D textured meshes

SURE Aerial Mesh Add-on - adds 3D textured meshing capability to SURE Aerial

SURE Editor – sophisticated mesh-editing and refinement (flattening, edge sharpening, spike removal...)

SURE Pro – for smaller projects, drone data ( nadir and oblique ) and terrestrial close-range products, including seamless color-balanced trueorthos, colored point clouds and DSM, 2.5D & 3D textured meshes

 

Specifications

  • Year of introduction
    2013
  • Year of last update
    2018
  • Modular
    SURE Aerial - SURE Aerial Mesh Add-on - SURE Pro - SURE Editor
  • License configuration
    14 day trial version after free download, perpetual or rental options, 1 instance per computer
  • 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]
    16000
  • Preferred RAM memory [Mb]
    64000
  • 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 per license (1 graphics card) scalable through 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 11GB 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. Stereo visualization 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
  • Radiometric corrections
    Y
  • Radiometric adjustment for mosaicing
    Y
  • Resampling
    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
  • images simultaneously processed
    Y
  • 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
    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, 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 / multistep workflow, LiDAR integration (feed-in 3rd party data), automatic waterbody filtering, stop and continue function, polygons to export sub-areas,

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