Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters

Bradley M. Ratliff, James K. Boger, Matthew P. Fetrow, J Scott Tyo, Wiley T. Black

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

22 Citations (Scopus)

Abstract

Long-wave infrared imaging Stokes vector polarimeters are used in many remote sensing applications. Imaging polarimeters require that several measurements be made under optically different conditions in order to estimate the polarization signature at a given scene point. This multiple-measurement requirement introduces error in the signature estimates, and the errors differ depending upon the type of measurement scheme used. Here, we investigate a LWIR linear microgrid polarimeter. This type of instrument consists of a mosaic of micropolarizers at different orientations that are masked directly onto a focal plane array sensor. In this scheme, each polarization measurement is acquired spatially and hence each is made at a different point in the scene. This is a significant source of error, as it violates the requirement that each polarization measurement have the same instantaneous field-of-view (IFOV). In this paper, we first study the amount of error introduced by the IFOV handicap in microgrid instruments. We then proceed to investigate means for mitigating the effects of these errors to improve the quality of polarimetric imagery. In particular, we examine different interpolation schemes and gauge their performance. These studies are completed through the use of both real instrumental and modeled data.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume6240
DOIs
StatePublished - 2006
Externally publishedYes
EventPolarization: Measurement, Analysis, and Remote Sensing VII - Kissimmee, FL, United States
Duration: Apr 20 2006Apr 21 2006

Other

OtherPolarization: Measurement, Analysis, and Remote Sensing VII
CountryUnited States
CityKissimmee, FL
Period4/20/064/21/06

Fingerprint

Polarimeters
polarimeters
field of view
image processing
Image processing
Imaging techniques
Polarization
polarization
signatures
disabilities
requirements
Focal plane arrays
Infrared imaging
focal plane devices
estimates
planetary waves
imagery
Gages
interpolation
remote sensing

Keywords

  • Focal Plane Array
  • Image Processing
  • Long-wave Infrared
  • Microgrid
  • Polarimeter
  • Polarimetry
  • Remote Sensing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Ratliff, B. M., Boger, J. K., Fetrow, M. P., Tyo, J. S., & Black, W. T. (2006). Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 6240). [62400E] https://doi.org/10.1117/12.666595

Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters. / Ratliff, Bradley M.; Boger, James K.; Fetrow, Matthew P.; Tyo, J Scott; Black, Wiley T.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6240 2006. 62400E.

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

Ratliff, BM, Boger, JK, Fetrow, MP, Tyo, JS & Black, WT 2006, Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 6240, 62400E, Polarization: Measurement, Analysis, and Remote Sensing VII, Kissimmee, FL, United States, 4/20/06. https://doi.org/10.1117/12.666595
Ratliff BM, Boger JK, Fetrow MP, Tyo JS, Black WT. Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6240. 2006. 62400E https://doi.org/10.1117/12.666595
Ratliff, Bradley M. ; Boger, James K. ; Fetrow, Matthew P. ; Tyo, J Scott ; Black, Wiley T. / Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6240 2006.
@inproceedings{0fbdbed7565c4fe2aea2a517cfdb165c,
title = "Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters",
abstract = "Long-wave infrared imaging Stokes vector polarimeters are used in many remote sensing applications. Imaging polarimeters require that several measurements be made under optically different conditions in order to estimate the polarization signature at a given scene point. This multiple-measurement requirement introduces error in the signature estimates, and the errors differ depending upon the type of measurement scheme used. Here, we investigate a LWIR linear microgrid polarimeter. This type of instrument consists of a mosaic of micropolarizers at different orientations that are masked directly onto a focal plane array sensor. In this scheme, each polarization measurement is acquired spatially and hence each is made at a different point in the scene. This is a significant source of error, as it violates the requirement that each polarization measurement have the same instantaneous field-of-view (IFOV). In this paper, we first study the amount of error introduced by the IFOV handicap in microgrid instruments. We then proceed to investigate means for mitigating the effects of these errors to improve the quality of polarimetric imagery. In particular, we examine different interpolation schemes and gauge their performance. These studies are completed through the use of both real instrumental and modeled data.",
keywords = "Focal Plane Array, Image Processing, Long-wave Infrared, Microgrid, Polarimeter, Polarimetry, Remote Sensing",
author = "Ratliff, {Bradley M.} and Boger, {James K.} and Fetrow, {Matthew P.} and Tyo, {J Scott} and Black, {Wiley T.}",
year = "2006",
doi = "10.1117/12.666595",
language = "English (US)",
isbn = "0819462969",
volume = "6240",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Image processing methods to compensate for IFOV errors in microgrid imaging polarimeters

AU - Ratliff, Bradley M.

AU - Boger, James K.

AU - Fetrow, Matthew P.

AU - Tyo, J Scott

AU - Black, Wiley T.

PY - 2006

Y1 - 2006

N2 - Long-wave infrared imaging Stokes vector polarimeters are used in many remote sensing applications. Imaging polarimeters require that several measurements be made under optically different conditions in order to estimate the polarization signature at a given scene point. This multiple-measurement requirement introduces error in the signature estimates, and the errors differ depending upon the type of measurement scheme used. Here, we investigate a LWIR linear microgrid polarimeter. This type of instrument consists of a mosaic of micropolarizers at different orientations that are masked directly onto a focal plane array sensor. In this scheme, each polarization measurement is acquired spatially and hence each is made at a different point in the scene. This is a significant source of error, as it violates the requirement that each polarization measurement have the same instantaneous field-of-view (IFOV). In this paper, we first study the amount of error introduced by the IFOV handicap in microgrid instruments. We then proceed to investigate means for mitigating the effects of these errors to improve the quality of polarimetric imagery. In particular, we examine different interpolation schemes and gauge their performance. These studies are completed through the use of both real instrumental and modeled data.

AB - Long-wave infrared imaging Stokes vector polarimeters are used in many remote sensing applications. Imaging polarimeters require that several measurements be made under optically different conditions in order to estimate the polarization signature at a given scene point. This multiple-measurement requirement introduces error in the signature estimates, and the errors differ depending upon the type of measurement scheme used. Here, we investigate a LWIR linear microgrid polarimeter. This type of instrument consists of a mosaic of micropolarizers at different orientations that are masked directly onto a focal plane array sensor. In this scheme, each polarization measurement is acquired spatially and hence each is made at a different point in the scene. This is a significant source of error, as it violates the requirement that each polarization measurement have the same instantaneous field-of-view (IFOV). In this paper, we first study the amount of error introduced by the IFOV handicap in microgrid instruments. We then proceed to investigate means for mitigating the effects of these errors to improve the quality of polarimetric imagery. In particular, we examine different interpolation schemes and gauge their performance. These studies are completed through the use of both real instrumental and modeled data.

KW - Focal Plane Array

KW - Image Processing

KW - Long-wave Infrared

KW - Microgrid

KW - Polarimeter

KW - Polarimetry

KW - Remote Sensing

UR - http://www.scopus.com/inward/record.url?scp=33747351754&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33747351754&partnerID=8YFLogxK

U2 - 10.1117/12.666595

DO - 10.1117/12.666595

M3 - Conference contribution

AN - SCOPUS:33747351754

SN - 0819462969

SN - 9780819462961

VL - 6240

BT - Proceedings of SPIE - The International Society for Optical Engineering

ER -