Abstract
While active polarimeters have been shown to be successful at improving discriminability of the targets of interest from their background in a wide range of applications, their use can be problematic for cases with strong bandwidth constraints. In order to limit the number of performed measurements, a number of successive studies have developed the concept of partial Mueller matrix polarimeters (pMMPs) into a competitive solution. Like all systems, pMMPs need to be calibrated in order to yield accurate results. In this treatment we provide a method by which to select a limited number of reference objects to calibrate a given pMMP design. To demonstrate the efficacy of the approach, we apply the method to a sample system and show that, depending on the kind of errors present within the system, a significantly reduced number of reference objects measurements will suffice for accurate characterization of the errors.
Original language | English |
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Title of host publication | Proceedings of SPIE - Polarization |
Subtitle of host publication | Measurement, Analysis, and Remote Sensing XII |
Editors | David B. Chenault, Dennis H. Goldstein |
Place of Publication | Bellingham WA USA |
Publisher | SPIE |
Number of pages | 7 |
ISBN (Print) | 9781510600942 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | Conference on Polarization - Measurement, Analysis, and Remote Sensing XII - Baltimore, United States of America Duration: 18 Apr 2016 → 19 Apr 2016 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9853.toc (Proceedings) |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Publisher | SPIE - International Society for Optical Engineering |
Volume | 9853 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | Conference on Polarization - Measurement, Analysis, and Remote Sensing XII |
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Country/Territory | United States of America |
City | Baltimore |
Period | 18/04/16 → 19/04/16 |
Internet address |
Keywords
- Calibration
- Optimization
- Partial Mueller Matrix
- Polarimetry
- Polarization