Data modeling enabled real time image processing for target discrimination

Jaenisch, Holger M., Handley, James W., Carroll, Marvin P., Faucheux, Jeffrey P., Thürk, Marcel, Goetz, Rüdiger, Ergov, Mark, and Wiesenfeldt, Martin (2005) Data modeling enabled real time image processing for target discrimination. In: Proceedings of SPIE Vol. 5784, pp. 178-189. From: Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, 28 March - 01 April 2005, Orlando, FL, USA.

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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 \Veil 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.

Item ID: 49986
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: data modeling; image processing; FPA; Van Cittert; image enhancement; seeker; IR
ISSN: 0277-786X
Date Deposited: 29 Aug 2017 23:08
FoR Codes: 09 ENGINEERING > 0999 Other Engineering > 099999 Engineering not elsewhere classified @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970102 Expanding Knowledge in the Physical Sciences @ 100%
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