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Tracking targets in multiplexed imagery

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.