Polarization imaging for remote sensing

Ashfaq Ahmed, Xiaojin Zhao, Amine Bermak

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

Abstract

We initially present a liquid crystal (LC) based creation procedure for full Stokes polarization image sensors. The proposed method enables an arrangement of both micron scale LC polarization rotators and λ/4 retarders. These can be integrated over a CMOS polarization image sensor. Also, the DoFP polarization image sensors seize polarization properties at each edge by grabbing some part of the polarization data and results in a changing instantaneous field of view (IFoV). To recover the missing polarization, interpolation methods are employed. We propose residual interpolation for DoFP image sensors, and compare the results with the already adopted algorithms. We tested our algorithm for underwater image. The results show that residual interpolation performs better than other methods in terms of visual and mean square error.

Original languageEnglish
Title of host publicationMRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages15-18
Number of pages4
ISBN (Electronic)9781509053919
DOIs
Publication statusPublished - 18 Oct 2017
Event5th IEEE Microwaves, Radar and Remote Sensing Symposium, MRRS 2017 - Kyiv, Ukraine
Duration: 29 Aug 201731 Aug 2017

Other

Other5th IEEE Microwaves, Radar and Remote Sensing Symposium, MRRS 2017
CountryUkraine
CityKyiv
Period29/8/1731/8/17

Fingerprint

remote sensing
Remote sensing
Polarization
Imaging techniques
Image sensors
polarization
interpolation
Interpolation
sensors
Liquid crystals
liquid crystals
retarders
Mean square error
field of view
CMOS

Keywords

  • interpolation
  • liquid crystal
  • polarization
  • polarization image sensor
  • stokes parameters

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation

Cite this

Ahmed, A., Zhao, X., & Bermak, A. (2017). Polarization imaging for remote sensing. In MRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings (pp. 15-18). [8075015] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MRRS.2017.8075015

Polarization imaging for remote sensing. / Ahmed, Ashfaq; Zhao, Xiaojin; Bermak, Amine.

MRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 15-18 8075015.

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

Ahmed, A, Zhao, X & Bermak, A 2017, Polarization imaging for remote sensing. in MRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings., 8075015, Institute of Electrical and Electronics Engineers Inc., pp. 15-18, 5th IEEE Microwaves, Radar and Remote Sensing Symposium, MRRS 2017, Kyiv, Ukraine, 29/8/17. https://doi.org/10.1109/MRRS.2017.8075015
Ahmed A, Zhao X, Bermak A. Polarization imaging for remote sensing. In MRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 15-18. 8075015 https://doi.org/10.1109/MRRS.2017.8075015
Ahmed, Ashfaq ; Zhao, Xiaojin ; Bermak, Amine. / Polarization imaging for remote sensing. MRRS 2017 - 2017 IEEE Microwaves, Radar and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 15-18
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