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Proceedings Paper

Exploiting context for assisted aerial image interpretation
Author(s): Alexander Bauer; Oliver Herschelmann
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Paper 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.

Paper Details

Date Published: 11 October 2010
PDF: 7 pages
Proc. SPIE 7835, Electro-Optical Remote Sensing, Photonic Technologies, and Applications IV, 78350K (11 October 2010); doi: 10.1117/12.865119
Show Author Affiliations
Alexander Bauer, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)
Oliver Herschelmann, Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (Germany)


Published in SPIE Proceedings Vol. 7835:
Electro-Optical Remote Sensing, Photonic Technologies, and Applications IV
Gary W. Kamerman; Gary J. Bishop; John D. Gonglewski; Ove Steinvall; Keith L. Lewis; Richard C. Hollins; Thomas J. Merlet, Editor(s)

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