Satellite

Satellite imagery covering the entire planet is readily available nowadays. Typical resolution of remotely-sensed images is 50cm, with total image size being over 1,200 MP (38,000 pixels by 35,000 pixels) and covering up to 400 square kilometers. Processing of just a single image pair is thus a challenge in itself by the huge amount of data implied. Therefore, producing accurate geospatial data in a timely manner based on satellite data is the ultimate goal.

SimActive’s Correlator3D™ software uses GPU technology and multi-core CPUs to support rapid production of satellite images.  High quality of results is delivered through a patented technology utilizing advanced computer vision algorithms. Aerial triangulation (AT) is performed and dense digital surface models (DSM), digital terrain models (DTM), point clouds, orthomosaics and vectorized 3D features are produced.

With Correlator3D™, satellite images are supported through Rational Polynomial Coefficients (RPCs).  Large blocks of photos can be processed in a single project.  This means, for example, that RPCs for a block of images can be refined simultanously through bundle adjustment, leading to consistent results across large areas.  Examples of supported satellites include the following:

  • GeoEye
  • WorldView
  • ALOS Prism
  • IKONOS
  • SPOT
  • Cartosat
  • RADARSAT-2
  • Pléiades
  • KOMPSAT

The following tables present a satellite project and associated processing times.

Sample Project

Number of Images 30
Image GSD 50 cm
Frame Size 850 MP
Orthomosaic Resolution 50 cm
Number of PCs 1

Processing Time

Aerial Triangulation 36 min
Orthophotos 36 min
Mosaic 88 min
Total 2.7 hours