Conference proceeding
Holographic electro-optic thin film stacks for airborne hyperspectral imaging
IMAGING SPECTROMETRY XV, v 7812(1), pp 78120S-78120S-8
01 Jan 2010
Abstract
In this work we demonstrate the feasibility of using a holographically formed thin film electro-optic stack for the development of an airborne hyperspectral imaging system in the visible wavelength range of 600nm to 800nm. Each wavelength filtering element in the stack is formed by photo-induced phase separation of a homogenous mixture of liquid crystals and photopolymers, exhibiting a uniform reflection efficiency of up to 80% across a 35mm optical aperture with non-normalized baseline transmission, polarization insensitivity for normal incidence and a spectral resolution of 10nm. Fast switching time on the order of microseconds and techniques to improve view angle in the individual wavelength filtering elements in the stack are discussed and the improvements are discussed from a morphological standpoint. Two techniques for stacking the thin films have been developed which requires lesser number of substrates hence improving transmission throughput and radiometric efficiency through the stack. An advantage of using such a stack is the ability to modulate each wavelength filtering element at a different frequency to obtain a spectral multiplex, thereby enabling synchronous detection and demodulation of each wavelength with a high update rate for the hyperspectral cube. A system level integration of such a stack into the prototype drive and detection unit is discussed in this work.
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Details
- Title
- Holographic electro-optic thin film stacks for airborne hyperspectral imaging
- Creators
- Sameet K. Shriyan - Drexel UniversityAdam K. Fontecchio - Drexel University
- Contributors
- S S Shen (Editor)P E Lewis (Editor)
- Publication Details
- IMAGING SPECTROMETRY XV, v 7812(1), pp 78120S-78120S-8
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000285829200023
- Scopus ID
- 2-s2.0-77957884570
- Other Identifier
- 991020531953704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Imaging Science & Photographic Technology
- Optics
- Spectroscopy