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Proceedings Paper

Resource allocation in coded aperture sensor systems
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Paper Abstract

We have previously reported the use of coded aperture for the design of wide area imaging sensors. Such sensors can allow the rate and resolution of the sensed information to be controlled by varying the sequence of codes used to acquire and reconstruct the data. However, since sensor resources are finite, it is essential to develop a framework for optimizing their allocation with respect to dynamic scene content over a large area. In this paper, we discuss an approach for achieving this using the principle of highly optimized tolerance (H.O.T) [1] which provides a theoretical basis for allocating resources in response to events to minimize a user defined loss function. Some results of initial simulations are presented to illustrate the concept.

Paper Details

Date Published: 28 August 2010
PDF: 7 pages
Proc. SPIE 7818, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, 78180C (28 August 2010); doi: 10.1117/12.863259
Show Author Affiliations
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)
Robert Muise, Lockheed Martin Missiles and Fire Control (United States)


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

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