The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-1/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 17–19, 2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 17–19, 2013

  16 Aug 2013

16 Aug 2013


T. Bahr1, X. Jin2, R. Lasica2, and D. Giessel3 T. Bahr et al.
  • 1Exelis Visual Information Solutions GmbH, Gilching, Germany
  • 2Exelis Visual Information Solutions, Boulder, Colorado, USA
  • 3Aeryon Labs Inc., Waterloo, Ontario, Canada

Keywords: Image Registration, UAV, Optical Data, Automation, HyPARE, Algorithm

Abstract. Unmanned aerial vehicles play an important role in the present-day civilian and military intelligence. Equipped with a variety of sensors, such as SAR imaging modes, E/O- and IR sensor technology, they are due to their agility suitable for many applications. Hence, the necessity arises to use fusion technologies and to develop them continuously. Here an exact image-to-image registration is essential. It serves as the basis for important image processing operations such as georeferencing, change detection, and data fusion. Therefore we developed the Hybrid Powered Auto-Registration Engine (HyPARE). HyPARE combines all available spatial reference information with a number of image registration approaches to improve the accuracy, performance, and automation of tie point generation and image registration. We demonstrate this approach by the registration of 39 still images from a high-resolution image stream, acquired with a Aeryon Photo3S™ camera on an Aeryon Scout micro-UAV™.