Open AccessAlong-track scanning using a liquid crystal compressive hyperspectral imager
Author(s) -
Yaniv Oiknine,
Isaac August,
Adrian Stern
Publication year - 2016
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.008446
Subject(s) - hyperspectral imaging , full spectral imaging , spectral imaging , compressed sensing , chemical imaging , optics , materials science , remote sensing , computer science , compression (physics) , data acquisition , artificial intelligence , geology , physics , composite material , operating system
In various applications, such as remote sensing and quality inspection, hyperspectral (HS) imaging is performed by spatially scanning an object. In this work, we present a new compressive hyperspectral imaging method that performs along-track scanning. The method relies on the compressive sensing miniature ultra-spectral imaging (CS-MUSI) system, which uses a single liquid crystal (LC) cell for spectral encoding and provides a more efficient way of HS data acquisition, compared to classical spatial scanning based systems. The experimental results show that a compression ratio of about 1:10 can be reached. Owing to the inherent compression, the captured data is preprepared for efficient storage and transmission.