Scalable information-optimal compressive imager: Target recognition task

Ronan Kerviche, Amit Ashok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a scalable compressive imager that employs information-optimal measurements capable of detecting and classifying two or more targets in natural backgrounds. Measurements are optimized using Cauchy-Schwarz mutual information that bounds the probability of error.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2016
PublisherOSA - The Optical Society
ISBN (Print)9781943580156
DOIs
StatePublished - Jul 18 2016
EventComputational Optical Sensing and Imaging, COSI 2016 - Heidelberg, Germany
Duration: Jul 25 2016Jul 28 2016

Other

OtherComputational Optical Sensing and Imaging, COSI 2016
CountryGermany
CityHeidelberg
Period7/25/167/28/16

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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