25 August 2009 Tracking targets in multiplexed imagery
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We consider the application of compressive imaging theory to the problem of persistent surveillance. As the compressive sensing theory enjoys significant research attention, the application areas for compressive imaging have not kept pace without an optical architecture which could directly improve current sensing capabilities. This paper overviews two methodologies for image multiplexing; each showing a dramatic (2 orders of magnitude) increase in performance for the persistent surveillance application. Field-of-View Multiplexing and time domain multiplexing are discussed and a simulated example is given which shows an increase in performance over current capabilities.
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Robert Muise, Abhijit Mahalanobis, "Tracking targets in multiplexed imagery", Proc. SPIE 7468, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems, 74680A (25 August 2009); doi: 10.1117/12.827432; https://doi.org/10.1117/12.827432



Compressive imaging

Signal to noise ratio

Reconstruction algorithms

Detection and tracking algorithms

Compressed sensing

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