Journal article
Electro-optic polymer liquid crystal thin films for hyperspectral imaging
Journal of applied remote sensing, v 6(1), pp 063549-063549
01 Jan 2012
Abstract
The authors present a study focused on the feasibility of using holographic polymer dispersed liquid crystal wavelength filters for hyperspectral imaging (HSI). For this study, stacks of these filters were fabricated in the visible wavelength range of 600 to 800 nm. These filters were demonstrated to have a number of properties useful for HSI applications, including uniform reflection efficiency of 80% across a 35 mm optical aperture, polarization insensitivity for normal incidence, spectral resolution of 10 nm, and fast switching times on the order of microseconds. In addition, the ability to modulate each filter in the stack at a different frequency allows for spectral multiplexing, thus enabling synchronous detection and demodulation of the image data. Although the filters in their current state show promise for HSI applications, techniques to further improve performance in terms of viewing angle range and transmission throughput are presented. Finally, a system level integration of such a stack into the prototype drive and detection unit is discussed. c 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.063549]
Metrics
Details
- Title
- Electro-optic polymer liquid crystal thin films for hyperspectral imaging
- Creators
- Sameet K. Shriyan - Drexel UniversityElizabeth Schundler - OptraCraig Schwarze - OptraAdam K. Fontecchio - Drexel University
- Publication Details
- Journal of applied remote sensing, v 6(1), pp 063549-063549
- Publisher
- Spie-Soc Photo-Optical Instrumentation Engineers
- Number of pages
- 10
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000306440600001
- Scopus ID
- 2-s2.0-84864140539
- Other Identifier
- 991020531941804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Environmental Sciences
- Imaging Science & Photographic Technology
- Remote Sensing