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Proceedings Paper

Data modeling enabled real time image processing for target discrimination
Author(s): Holger M. Jaenisch; James W. Handley; Marvin P. Carroll; Jeffrey P. Faucheux; Marcel Thuerk; Ruediger Goetz; Mark Egorov; Martin Wiesenfeldt
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Paper Abstract

UMV sensors currently under development for Future Combat Systems (FCS) require imaging capabilities. System firmware limitations also limit onboard image processing capabilities. Data Modeling mitigates these limitations through robust image segmentation and image enhancement using simple equations. To illustrate, we present a novel real-time seeker imaging simulation comprised of empirically derived Data Models for all aspects of the simulation. This includes FPA uniformity, shot noise, target geometry and dynamics, as well as fast real-time image segmentation and image enhancement. We demonstrate image enhancement by conversion of non-linear image processing routines such as Van Cittert deconvolution and Sobel edge detection into a single pass equation without intermediate storage requirements.

Paper Details

Date Published: 12 May 2005
PDF: 12 pages
Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); doi: 10.1117/12.603398
Show Author Affiliations
Holger M. Jaenisch, dtech Systems, Inc. (United States)
James Cook Univ. (Australia)
James W. Handley, James Cook Univ. (Australia)
Sparta, Inc. (United States)
Marvin P. Carroll, Tec-Masters, Inc. (United States)
Jeffrey P. Faucheux, Sparta, Inc. (United States)
Marcel Thuerk, Matrix Advanced Solutions Germany GmbH (Germany)
Ruediger Goetz, Matrix Advanced Solutions Germany GmbH (Germany)
Mark Egorov, Matrix Advanced Solutions Germany GmbH (Germany)
Martin Wiesenfeldt, Matrix Advanced Solutions Germany GmbH (Germany)

Published in SPIE Proceedings Vol. 5784:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI
Gerald C. Holst, Editor(s)

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