Motion-based nonuniformity correction in DoFP polarimeters

Rakesh Kumar; J. Scott Tyo; Bradley M. Ratliff

doi:10.1117/12.731460

13 September 2007 Motion-based nonuniformity correction in DoFP polarimeters

Rakesh Kumar, J. Scott Tyo, Bradley M. Ratliff

Proceedings Volume 6682, Polarization Science and Remote Sensing III; 668218 (2007) https://doi.org/10.1117/12.731460
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Division of Focal Plane polarimeters (DoFP) operate by integrating an array of micropolarizer elements with a focal plane array. These devices have been investigated for over a decade, and example systems have been built in all regions of the optical spectrum. DoFP devices have the distinct advantage that they are mechanically rugged, inherently temporally synchronized, and optically aligned. They have the concomitant disadvantage that each pixel in the FPA has a different instantaneous field of view (IFOV), meaning that the polarization component measurements that go into estimating the Stokes vector across the image come from four different points in the field. In addition to IFOV errors, microgrid camera systems operating in the LWIR have the additional problem that FPA nonuniformity (NU) noise can be quite severe. The spatial differencing nature of a DoFP system exacerbates the residual NU noise that is remaining after calibration, and is often the largest source of false polarization signatures away from regions where IFOV error dominates. We have recently presented a scene based algorithm that uses frame-to-frame motion to compensate for NU noise in unpolarized IR imagers. In this paper, we have extended that algorithm so that it can be used to compensate for NU noise on a DoFP polarimeter. Furthermore, the additional information provided by the scene motion can be used to significantly reduce the IFOV error. We have found a reduction of IFOV error by a factor of 10 if the scene motion is known exactly. Performance is reduced when the motion must be estimated from the scene, but still shows a marked improvement over static DoFP images.

Citation Download Citation

Rakesh Kumar, J. Scott Tyo, and Bradley M. Ratliff "Motion-based nonuniformity correction in DoFP polarimeters", Proc. SPIE 6682, Polarization Science and Remote Sensing III, 668218 (13 September 2007); https://doi.org/10.1117/12.731460

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KEYWORDS

Polarimetry

Staring arrays

Sensors

Calibration

Polarization

Motion models

Algorithm development

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