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nFrames GmbH SURE Aerial

The solution for city- and countrywide mapping from aerial imagery

SURE Aerial is specifically designed for large aerial image datasets – captured with large frame nadir cameras, oblique cameras or hybrid systems with additional LiDAR sensors. Without limitation in image resolution, it empowers the production …

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

SURE Aerial is specifically designed for large aerial image datasets – captured with large frame nadir cameras, oblique cameras or hybrid systems with additional LiDAR sensors. Without limitation in image resolution, it empowers the production of 3D Meshes, True Orthophotos, Point Clouds and Digital Surface Models on common workstation hardware or up to cluster environments. Simple to setup and to operate while being perfectly connected by interfaces such as various Aerotriangulation import options, shapefile definitions or output formats - compliant to mapping industry standards and ready for web streaming technologies.

  • Dense Image Matching
    • Depth information for each pixel with sharp edges
    • Multi-threading and GPU support
  • Colored Point Clouds (las, laz)
  • Digital Surface Models (tif, gtif, tfw)
  • True Orthophotos (tif, gtif, tfw)
  • Textured 2.5D and 3D Meshes (cesium, ESRI slpk, osgb, obj, collada)
  • Global Color Balancing
    • Automatic seam-line leveling and homogeneous blending
  • Point Clouds and True Orthophotos with 8 Bit, 16 Bit and 4 channels
  • All kinds of frame imagery
    • Small, medium and large frame (e.g. >500 megapixels)
    • Close range, UAV, manned aircraft (nadir, oblique)
    • Transfer full image information to deliverables (8/16 Bit RGBI)
  • LiDAR Point Cloud import (las, laz)
  • Elastic Distributed Processing
    • Scale to any size of datasets / timelines
    • Add additional nodes while processing
    • No setup and interactive management of cluster required
    • Attractive license rental packages
  • Completely scriptable and configurable with command line interface
  • Open interfaces
    • Direct orientation import from Trimble Inpho/Match-AT, Leica HxMap, Agisoft Photoscan, Pix4D and more
    • Point Cloud import (las or laz)
    • LiDAR Trajectory import (sbet, sol)
  • Editing & data interaction
    • 2D or 3D shapefiles for waterbodies and surface corrections
    • Region of interest definition for processing and export
    • Mapsheet definition (tiling scheme)
    • Refeed edited or 3rd party Point Clouds to workflow
    • SURE Editor (Mesh editing tools improving Meshes, True Orthos and DSMs)

Specifications

  • Year of introduction
    2013
  • Year of last update
    2019
  • Modular
    SURE Aerial - SURE Aerial Mesh Add-on - 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 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
    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
    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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