AI-based object detection

GSH will

  • Use advanced satellite assets as Copernicus Sentinels, Copernicus Contributing Missions (CCM), LEO Cubesats/Smallsats, and
  • Further develop AI-based algorithms for object detection on satellite and UAV images

Advanced satellite assets as Copernicus Contributing missions (CCM), LEO Cubesats/Smallsats with tasking capabilities

  • Optical data (visible, NIR, SWIR), Hyperspectral, TIR
  • SAR data (day/ night, all weather)
  • Spatial resolution: <1m to several m
  • Revisit: daily or more frequent
  • CCM data either public (CNES, DLR, ESA) or commercial (Pléiades, WorldView, RapidEye, etc)
  • Cubesats data either public (ESA, National Programs) or commercial (Planet, BlackSky, etc)
  • Easy download from multiple platforms or portals and process in relevant s/w

Main capabilities of the technology:

  • Automatic object detection and classification on satellite/ UAV data or video
  • Change detection using multitemporal imagery
  • Processing of VHR data as CCM, LEO Cubesats/Smallsats or UAV data
  • Processing of multi-spectral and multi-modal data
  • Unusual objects detection
  • Real time and off line detection
  • Integration and mapping in GIS
  • Technology can be used in mobile installation in BF mobile C2 platform.

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