Hyperspectral compressive imaging

Adrian Stern, August Yitzhak, Vladimir Farber, Yair Rivenson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Hyperspectral imaging is a natural field for the implementation of compressive sensing because typical captured hyperspectral datacubes involve large amount of data which is also often very redundant. Compressive hypersepctral systems compress the hyperspectral data already in the acquisition step, thus remedy the severe storage and processing requirements typical to conventional hypersepctral imaging systems. In this paper we overview some hyperspectral compressive imaging techniques that we have developed.

Original languageEnglish
Title of host publicationWIO 2013 - 12th Workshop on Information Optics, Proceedings
DOIs
StatePublished - 17 Oct 2013
Event2013 12th Workshop on Information Optics, WIO 2013 - Tenerife, Spain
Duration: 15 Jul 201319 Jul 2013

Publication series

NameWIO 2013 - 12th Workshop on Information Optics, Proceedings

Conference

Conference2013 12th Workshop on Information Optics, WIO 2013
Country/TerritorySpain
CityTenerife
Period15/07/1319/07/13

Keywords

  • compressed sensing
  • compressive imaging
  • compressive sensing
  • computational imaging

ASJC Scopus subject areas

  • Computer Networks and Communications

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