Journal article
Electrically switchable electro-optic filters for spectral line emission detection
Applied optics (2004), v 60(4), pp 1059-1067
01 Feb 2021
PMID: 33690412
Abstract
Remote detection of spectral line emission is an important capability in a number of areas, including defense and environmental science. In this paper, we report on a mechanism for spectral line emission detection that is not based on narrow bandpass filters or hyperspectral imagers, but is instead based on the use of switchable spectral filters. The use of a switchable filter enables a single sensor to perform remote sensing tasking in a broad passband, while also detecting emission in a particular spectral line. In this case, the switchable spectral filter studied is a holographic polymer dispersed liquid crystal (HPDLC) reflection grating. The concept is demonstrated through modeling a sensor with an integrated HPDLC filter and building a detection algorithm capable of detecting spectral line emission. The modeling framework is built upon four components: the background scene, the spectral line source, the HPDLC filter, and the sensor. Results from the model show probability of detection and probability of false alarm for spectral line sources of varying strength for a particular background scene. (C) 2021 Optical Society of America
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1 citations in Scopus
Details
- Title
- Electrically switchable electro-optic filters for spectral line emission detection
- Creators
- Ben Pelleg - Johns Hopkins University Applied Physics LaboratoryCarl Steinhauser - Johns Hopkins University Applied Physics LaboratoryMarquise Pullen - Drexel UniversityJoseph Linden - Johns Hopkins University Applied Physics LaboratoryAdam Fontecchio - Drexel University
- Publication Details
- Applied optics (2004), v 60(4), pp 1059-1067
- Publisher
- Optical Soc Amer
- Number of pages
- 9
- Grant note
- Applied Physics Laboratory, Johns Hopkins University U.S. Army Combat Capabilities Development Command
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000614630300070
- Scopus ID
- 2-s2.0-85102838945
- Other Identifier
- 991019168016504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Optics