
Proceedings Paper
Exploiting motion-based redundancy to enhance microgrid polarimeter imageryFormat | Member Price | Non-Member Price |
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Paper Abstract
Microgrid polarimeters are a type of division of focal plane (DoFP) imaging polarimeter that contains a mosaic
of pixel-wise micropolarizing elements superimposed upon an FPA sensor. Such a device measures a slightly
different polarized state at each pixel. These measurements are combined to estimate the Stokes vector at each
pixel in the image. DoFP devices have the advantage that they can obtain Stokes vector image estimates for
an entire scene from a single frame capture. However, they suffer from the disadvantage that the neighboring
measurements that are used to estimate the Stokes vector images are acquired at differing instantaneous fields of
view (IFOV). This IFOV issue leads to false polarization signatures that significantly degrade the Stokes vector
images. Interpolation and other image processing strategies can be employed to reduce IFOV artifacts; however
these techniques have a limit to the amount of enhancement they can provide on a single microgrid image.
Here we investigate algorithms that use multiple microgrid images that contain frame-to-frame global motion
to further enhance the Stokes vector image estimates. Motion-based imagery provides additional redundancy
that can be exploited to recover information that is "missing" from a single microgrid frame capture. We have
found that IFOV and aliasing artifacts can be defeated entirely when these types of algorithms are applied to the
data prior to Stokes vector estimation. We demonstrate results on real LWIR microgrid data using a particular
resolution enhancement technique from the literature.
Paper Details
Date Published: 11 August 2009
PDF: 10 pages
Proc. SPIE 7461, Polarization Science and Remote Sensing IV, 74610K (11 August 2009); doi: 10.1117/12.823849
Published in SPIE Proceedings Vol. 7461:
Polarization Science and Remote Sensing IV
Joseph A. Shaw; J. Scott Tyo, Editor(s)
PDF: 10 pages
Proc. SPIE 7461, Polarization Science and Remote Sensing IV, 74610K (11 August 2009); doi: 10.1117/12.823849
Show Author Affiliations
Bradley M. Ratliff, College of Optical Sciences, The Univ. of Arizona (United States)
J. Scott Tyo, College of Optical Sciences, The Univ. of Arizona (United States)
J. Scott Tyo, College of Optical Sciences, The Univ. of Arizona (United States)
Wiley T. Black, College of Optical Sciences, The Univ. of Arizona (United States)
Charles F. LaCasse, College of Optical Sciences, The Univ. of Arizona (United States)
Charles F. LaCasse, College of Optical Sciences, The Univ. of Arizona (United States)
Published in SPIE Proceedings Vol. 7461:
Polarization Science and Remote Sensing IV
Joseph A. Shaw; J. Scott Tyo, Editor(s)
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