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

نویسندگان

  • Carey E Priebe
  • David J Marchette
  • Youngser Park
  • Robert R Muise
چکیده

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.

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عنوان ژورنال:
  • Applied optics

دوره 45 13  شماره 

صفحات  -

تاریخ انتشار 2006