Application of integrated sensing and processing decision trees for target detection and localization on digital mirror array imagery

Applied Optics
Carey E PriebeRobert R Muise

Abstract

We demonstrate the applicability of integrated sensing and processing decision trees (ISPDTs) methodology to a set of digital mirror array (DMA) hyperspectral imagery. In particular, we demonstrate that ISPDTs can be used to detect and localize targets by using just a few DMA Hadamard frames, so that an entire hyperspectral data cube need not be collected to successfully perform the given task. This suggests that such an integrated sensing-processing suite may be appropriate for extremely time-sensitive pattern-recognition applications.

References

Jun 27, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Carey E PriebeDennis M Healy

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