title: Application of integrated sensing and processing decision trees for target detection and localization on digital mirror array imagery.
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.
authors.affiliation: Johns Hopkins University, Baltimore, Maryland 21218-2682, USA. cep@jhu.edu
authors.forename: Carey E
authors.initials: CE
authors.lastname: Priebe
authors.forename: David J
authors.initials: DJ
authors.lastname: Marchette
authors.forename: Youngser
authors.initials: Y
authors.lastname: Park
authors.forename: Robert R
authors.initials: RR
authors.lastname: Muise