Open AccessElectrically switchable electro-optic filters for spectral line emission detection
Author(s) -
Ben Pelleg,
Carl Steinhauser,
Marquise N. Pullen,
J. J. Linden,
Adam K. Fontecchio
Publication year - 2021
Publication title -
applied optics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.668
H-Index - 197
eISSN - 2155-3165
pISSN - 1559-128X
DOI - 10.1364/ao.416547
Subject(s) - hyperspectral imaging , optics , filter (signal processing) , optical filter , passband , liquid crystal tunable filter , band pass filter , spectral signature , reflection (computer programming) , line (geometry) , multispectral image , emission spectrum , grating , spectral imaging , materials science , computer science , remote sensing , spectral line , physics , artificial intelligence , computer vision , liquid crystal , geometry , mathematics , astronomy , programming language , geology
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.