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Exploiting context for assisted aerial image interpretation

: Bauer, A.; Herschelmann, O.

Postprint urn:nbn:de:0011-n-1433693 (2.9 MByte PDF)
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Created on: 19.10.2010

Kamerman, G.W. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Electro-optical remote sensing, photonic technologies, and applications IV : SPIE Defense and Security 2010, Toulouse, France, 20 september 2008
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7835)
ISBN: 978-0-8194-8353-9
Paper 78350K
Conference "Electro-Optical Remote Sensing, Photonic Technologies, and Applications" <4, 2010, Toulouse>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

The evaluation of a country's critical infrastructure requires a detailed analysis of facilities such as airfields, harbors and heavy industry. To improve the assessment of such facilities, an assistance system for the interpretation of infrastructure facilities from aerial imagery is developed. In this paper we point out recent advances of the system's recommendation function. Besides suggesting the occurrence of undetected objects based on a probabilistic scene model and previously detected objects, the system is now able to suggest the classification of objects based on intrinsic object features and both local context (spatial relations) and global context (overall scene classification). To justify our approach the results of an experimental evaluation of the system for the classification of industrial installations is presented.