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Interpolation strategies for reducing IFOV artifacts in microgrid polarimeter imagery
Bradley M Ratliff1, Charles F LaCasse, J Scott Tyo
1College of Optical Sciences, University of Arizona, Tucson, AZ, 85721 USA. ratliff@optics.arizona.edu
Optics Express
|May 26, 2009
Summary
Microgrid polarimeters capture polarization data using spatial modulation, causing edge artifacts. Interpolation methods applied to intensity data before Stokes vector estimation can reduce these artifacts, improving image quality.
Area of Science:
- Optical Engineering
- Image Processing
- Remote Sensing
Background:
- Microgrid polarimeters utilize micro-polarizing elements on focal plane array (FPA) sensors.
- These systems offer compact, rugged designs for single-capture polarimetric measurements across the optical spectrum.
- Spatial modulation in microgrid polarimeters leads to varying instantaneous fields-of-view (IFOV).
Purpose of the Study:
- To formally investigate instantaneous field-of-view (IFOV) error in microgrid polarimeters.
- To evaluate the effectiveness of various bilinear interpolation strategies in mitigating IFOV-induced artifacts.
Main Methods:
- Analysis of IFOV error inherent in spatial modulation techniques.
- Application and comparison of several bilinear interpolation algorithms to intensity data.
- Post-interpolation Stokes vector estimation and artifact assessment.
Main Results:
- Significant edge artifacts degrade polarization imagery due to IFOV variations.
- Interpolation of intensity data prior to Stokes vector estimation effectively reduces these artifacts.
- Specific bilinear interpolation strategies demonstrate varying degrees of success in artifact reduction.
Conclusions:
- IFOV error is a critical factor impacting microgrid polarimeter performance.
- Bilinear interpolation offers a viable method for enhancing the quality of estimated polarization images.
- Further research into optimal interpolation techniques is warranted for improved microgrid polarimetry.
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