Data modeling enabled real time image processing for target discrimination

Holger M. Jaenisch; James W. Handley; Marvin P. Carroll; Jeffrey P. Faucheux; Marcel Thuerk; Ruediger Goetz; Mark Egorov; Martin Wiesenfeldt

doi:10.1117/12.603398

12 May 2005 Data modeling enabled real time image processing for target discrimination

Holger M. Jaenisch, James W. Handley, Marvin P. Carroll, Jeffrey P. Faucheux, Marcel Thuerk, Ruediger Goetz, Mark Egorov, Martin Wiesenfeldt

Author Affiliations +

Proceedings Volume 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI; (2005) https://doi.org/10.1117/12.603398
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

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Holger M. Jaenisch, James W. Handley, Marvin P. Carroll, Jeffrey P. Faucheux, Marcel Thuerk, Ruediger Goetz, Mark Egorov, and Martin Wiesenfeldt "Data modeling enabled real time image processing for target discrimination", Proc. SPIE 5784, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, (12 May 2005); https://doi.org/10.1117/12.603398

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