Data processing and performance evaluation of a tempo-spatially mixed modulation imaging Fourier transform spectrometer based on stepped micro-mirror
Author(s) -
Baixuan Zhao,
Jinguang Lv,
Jun Ren,
Yuxin Qin,
Tao Jin,
Jingqiu Liang,
Weibiao Wang
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.383401
Subject(s) - optics , image quality , spectrometer , modulation (music) , image stitching , fourier transform , noise (video) , signal to noise ratio (imaging) , image processing , imaging spectrometer , sampling (signal processing) , computer science , physics , detector , artificial intelligence , image (mathematics) , acoustics , quantum mechanics
A novel tempo-spatially mixed modulation imaging Fourier transform spectrometer based on a stepped micro-mirror has the advantages of high throughput, compactness, and stability. In this paper, we present a method of image- and spectrum-processing and performance evaluation, which is utilized to obtain a high-quality reconstructed image without stitching gaps and a reconstructed spectrum with significantly reduced noise and side-lobe oscillation. A theoretical model of instrument line shape and signal-to-noise ratio is established to verify the effectiveness of non-uniformity sampling correction and spectral resolution enhancement. Meanwhile, the performance of the instrument was evaluated combined with experimental results.
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