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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)
MD5 Fingerprint: 630b7b64367601c05ae474fc2654c95a
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: 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>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Abstract
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.

: http://publica.fraunhofer.de/documents/N-143369.html