Scalable information-optimal compressive imager: Target recognition task

Ronan Kerviche; Amit Ashok

doi:10.1364/COSI.2016.CW5D.7

Scalable information-optimal compressive imager: Target recognition task

Ronan Kerviche, Amit Ashok

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Computational Optical Sensing and Imaging, COSI 2016
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580156
DOIs	https://doi.org/10.1364/COSI.2016.CW5D.7
State	Published - Jul 18 2016
Event	Computational Optical Sensing and Imaging, COSI 2016 - Heidelberg, Germany Duration: Jul 25 2016 → Jul 28 2016

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2016
Country/Territory	Germany
City	Heidelberg
Period	7/25/16 → 7/28/16

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1364/COSI.2016.CW5D.7

Cite this

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title = "Scalable information-optimal compressive imager: Target recognition task",

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.",

author = "Ronan Kerviche and Amit Ashok",

note = "Publisher Copyright: {\textcopyright} OSA 2016.; Computational Optical Sensing and Imaging, COSI 2016 ; Conference date: 25-07-2016 Through 28-07-2016",

year = "2016",

month = jul,

day = "18",

doi = "10.1364/COSI.2016.CW5D.7",

language = "English (US)",

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series = "Optics InfoBase Conference Papers",

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AU - Kerviche, Ronan

AU - Ashok, Amit

PY - 2016/7/18

Y1 - 2016/7/18

N2 - 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.

AB - 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.

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U2 - 10.1364/COSI.2016.CW5D.7

DO - 10.1364/COSI.2016.CW5D.7

M3 - Conference contribution

AN - SCOPUS:85165751663

SN - 9781943580156

T3 - Optics InfoBase Conference Papers

BT - Computational Optical Sensing and Imaging, COSI 2016

PB - Optica Publishing Group (formerly OSA)

Y2 - 25 July 2016 through 28 July 2016

ER -

Scalable information-optimal compressive imager: Target recognition task

Abstract

Publication series

Conference

ASJC Scopus subject areas

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