Computational hyperspectral unmixing using the AFSSI-C

Phillip K. Poon, ESTEBAN MAURICIO VERA ROJAS, Michael E. Gehm

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

Abstract

We have previously introduced a high throughput multiplexing computational spectral imaging device. The device measures scalar projections of pseudo-arbitrary spectral filters at each spatial pixel. This paper discusses simulation and initial experimental progress in performing computational spectral unmixing by taking advantage of the natural sparsity commonly found in the fractional abundances. The simulation results show a lower unmixing error compared to traditional spectral imaging devices. Initial experimental results demonstrate the ability to directly perform spectral unmixing with less error than multiplexing alone.

Original languageEnglish
Title of host publicationComputational Imaging
EditorsKenneth S. Kubala, Lei Tian, Abhijit Mahalanobis, Amit Ashok, Jonathan C. Petruccelli
PublisherSPIE
ISBN (Electronic)9781510601116
DOIs
StatePublished - 1 Jan 2016
EventComputational Imaging - Baltimore, United States
Duration: 17 Apr 201618 Apr 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9870
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceComputational Imaging
Country/TerritoryUnited States
CityBaltimore
Period17/04/1618/04/16

Keywords

  • Compressive Sensing
  • Computational Imaging
  • Computational Spectroscopy
  • Spectral Unmixing

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