Open AccessUse of Acusto-Optic Tunable Filters for Multispectral and Hyperspectral Selection of Optical Images
Author(s) -
Maksym Melnyk,
Roman Melnyk,
H. Haskevych,
D. Vynnyk
Publication year - 2018
Language(s) - English
DOI - 10.30970/elit2018.b15
Subject(s) - multispectral image , hyperspectral imaging , optical filter , remote sensing , computer science , selection (genetic algorithm) , artificial intelligence , computer vision , optics , geology , physics
The geometry of acousto-optic interaction in a TeO2 crystal suitable for design of tunable acousto-optic filters with enhanced spatial resolution is described. Some results of its evaluation are given, considering the applications in multispectral and hyperspectral image selection. The advantages of compact dimensions and low energy consumption are discussed regarding the use of such devices in onboard systems for small satellites.
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