Task-specific snapshot Mueller matrix channeled spectropolarimeter optimization

Andrey S. Alenin, J Scott Tyo

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

5 Citations (Scopus)

Abstract

We have developed a tool to simulate reconstruction behavior of a snapshot Mueller matrix channeled spectropolarimeter in presence of noise. A shortcoming of channeled spectropolarimeters is that with a large number of channels, each channel has to be narrow, which limits the reconstruction accuracy and provides a bandlimit constraint on the object. The concept of making partial Mueller matrix measurements can be extended to a channeled system by considering polarimeter designs that make irrelevant Mueller matrix elements unreconstructable, while decreasing the number of channels and subsequently increasing the bandwidth available to each channel. This tool optimizes the distribution of the available bandwidth towards the polarization elements that we care about most. A generic linear systems model of a spectropolarimeter with four variable retarders allows us to construct a matrix that maps Mueller matrix elements into corresponding channels. A pseudo-inverse of that matrix enables the reconstruction of Mueller matrix elements from channels. By specifying a mask vector, we can control the subjective importance of each of the reconstructed elements and weigh their error contribution accordingly. Finally, searching the design space allows us to find a design that maximizes the Signal-to-Noise-Ratio (SNR) for a specific partial Mueller matrix measurement task.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8364
DOIs
StatePublished - 2012
EventPolarization: Measurement, Analysis, and Remote Sensing X - Baltimore, MD, United States
Duration: Apr 23 2012Apr 24 2012

Other

OtherPolarization: Measurement, Analysis, and Remote Sensing X
CountryUnited States
CityBaltimore, MD
Period4/23/124/24/12

Fingerprint

Mueller Matrix
Snapshot
polarimeters
optimization
Optimization
matrices
Partial Matrix
Bandwidth
Polarimeter
Pseudo-inverse
bandwidth
retarders
Mask
Polarimeters
Polarization
linear systems
Maximise
Linear Systems
Optimise
Linear systems

Keywords

  • Channeled Spectropolarimeter
  • Optimization
  • Partial Mueller Matrix Polarimeter
  • Polarimetry

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Alenin, A. S., & Tyo, J. S. (2012). Task-specific snapshot Mueller matrix channeled spectropolarimeter optimization. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8364). [836402] https://doi.org/10.1117/12.921911

Task-specific snapshot Mueller matrix channeled spectropolarimeter optimization. / Alenin, Andrey S.; Tyo, J Scott.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8364 2012. 836402.

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

Alenin, AS & Tyo, JS 2012, Task-specific snapshot Mueller matrix channeled spectropolarimeter optimization. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8364, 836402, Polarization: Measurement, Analysis, and Remote Sensing X, Baltimore, MD, United States, 4/23/12. https://doi.org/10.1117/12.921911
Alenin AS, Tyo JS. Task-specific snapshot Mueller matrix channeled spectropolarimeter optimization. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8364. 2012. 836402 https://doi.org/10.1117/12.921911
Alenin, Andrey S. ; Tyo, J Scott. / Task-specific snapshot Mueller matrix channeled spectropolarimeter optimization. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8364 2012.
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