Snapshot hyperspectral polarization imaging
Abstract/Contents
- Abstract
- Wavelength and polarization are fundamental properties of light that are widely used in astronomy, biology, geology, metrology, and other scientific applications. Standard color cameras are insufficient for wavelength and polarization measurements; specialized hardware is required. Existing solutions operate by scanning over a scene or changing filters for wavelength and polarization -- a slow, time-consuming process. We present a system that can acquire an image and its spectrum and polarization at every pixel with a single image exposure. This snapshot hyperspectral polarization camera has an image resolution of 40 x 30 pixels, samples wavelengths from 400 -- 700 nm in increments of 15 nm, detects both linearly- and circularly-polarized light, and costs less than $1000. I also present a Mueller spectropolarimeter, a tool capable of a complete polarization and wavelength analysis of a 100 mm semiconductor wafer. The compact size, low cost, and minimal data post-processing required of the system makes it suitable for high-speed scientific measurement and remote sensing.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2022; ©2022 |
Publication date | 2022; 2022 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Phan, Thaibao Quoc |
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Degree supervisor | Fan, Jonathan Albert |
Thesis advisor | Fan, Jonathan Albert |
Thesis advisor | Rivas-Davila, Juan |
Thesis advisor | Solgaard, Olav |
Degree committee member | Rivas-Davila, Juan |
Degree committee member | Solgaard, Olav |
Associated with | Stanford University, Department of Electrical Engineering |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Thaibao (Peter) Phan. |
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Note | Submitted to the Department of Electrical Engineering. |
Thesis | Thesis Ph.D. Stanford University 2022. |
Location | https://purl.stanford.edu/sn056rj4251 |
Access conditions
- Copyright
- © 2022 by Thaibao Quoc Phan
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
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