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Image exploitation algorithms for reconnaissance and surveillance with UAV

: Heinze, N.; Esswein, M.; Krüger, W.; Saur, G.

Postprint urn:nbn:de:0011-n-1332971 (23 MByte PDF)
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Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Created on: 15.6.2010

Henry, D.J. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.; Society for Imaging Science and Technology -IS&T-:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications VII : 7 April 2010, Orlando, Florida, United States
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7668)
ISBN: 978-0-8194-8132-0
Paper 76680U
Conference "Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications" <7, 2010, Orlando/Fla.>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

UAV have a growing importance for reconnaissance and surveillance. Due to improved technical capability also small UAVs have an endurance of about 6 hours, but less sophisticated sensors due to strong weight limitations. This puts a high strain and workload on the small teams usually deployed with such systems. To lessen the strain for photo interpreters and to improve the capability of such systems we have developed and integrated automatic image exploitation algorithms. An import aspect is the detection of moving objects to give the photo interpreter (PI) hints were such objects are. Mosaiking of imagery helps to gain better oversight over the scene. By computing stereo-mosaics from mono-ocular video-data also 3-d-models can be derived from tactical UAV-data in a further processing step. A special instrument of gaining oversight is to use multi-temporal and multifocal images of video-sensors with different resolution of the platform and to fusion them into one image. This results in a good situation awareness of the scene with a light-weight sensor-platform and a standard video link.