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Proceedings Paper

Incorporating prior knowledge of urban scene spatial structure in aperture code designs for surveillance systems
Author(s): John R. Valenzuela; Brian J. Thelen; Nikola Subotic
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Paper Abstract

Two major missions of Surveillance systems are imaging and ground moving target indication (GMTI). Recent advances in coded aperture electro optical systems have enabled persistent surveillance systems with extremely large fields of regard. The areas of interest for these surveillance systems are typically urban, with spatial topologies having a very definite structure. We incorporate aspects of a priori information on this structure in our aperture code designs to enable optimized dealiasing operations for undersampled focal plane arrays. Our framework enables us to design aperture codes to minimize mean square error for image reconstruction or to maximize signal to clutter ratio for GMTI detection. In this paper we present a technical overview of our code design methodology and show the results of our designed codes on simulated DIRSIG mega-scene data.

Paper Details

Date Published: 28 August 2010
PDF: 10 pages
Proc. SPIE 7818, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, 78180F (28 August 2010); doi: 10.1117/12.863426
Show Author Affiliations
John R. Valenzuela, Michigan Tech Research Institute (United States)
Brian J. Thelen, Michigan Tech Research Institute (United States)
Nikola Subotic, Michigan Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 7818:
Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II
Jean J. Dolne; Stanley Rogers; Thomas J. Karr; David P. Casasent; Victor L. Gamiz, Editor(s)

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