Journal
REMOTE SENSING
Volume 14, Issue 7, Pages -Publisher
MDPI
DOI: 10.3390/rs14071543
Keywords
infrared; snapshot; imaging spectrometer; Fourier transform; dynamic target; optical design
Categories
Funding
- National Natural Science Foundation of China [61805239, 61627819, 61575193, 61727818]
- Jilin Scientific and Technological Development Program [20190303063SF, 20180201024GX, 20150520101JH]
- Youth Innovation Promotion Association Foundation of the Chinese Academy of Sciences [2018254, 61905240]
- National Science and Technology Major Project of China [2019QZKK020802]
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This paper proposes a snapshot infrared imaging Fourier transform spectrometer (SIIFTS) based on stepped micromirrors and a lens array, which can accurately and stably obtain real-time image and spectral information from dynamic targets.
Infrared imaging spectrometry is utilized to detect and identify targets by collecting spectral images. In some cases, the infrared spectral images of dynamic targets need to be detected accurately, such as during remote sensing target tracking and engine tail flame detection applications. However, it is difficult to obtain reliable measurement results when using a traditional infrared imaging spectrometer with a scanning structure because of motion artifacts. This work proposes a snapshot infrared imaging Fourier transform spectrometer (SIIFTS) based on stepped micromirrors and a lens array. Two micromirrors sample the spectral information, and the lens array can realize multi-aperture snapshot imaging. The spectrometer is capable of collecting three-dimensional (3D) datasets during a single measurement period, and its absence of motion artifacts and its ability to work without moving parts is very important for dynamic target detection. The achromatic optical design of the SIIFTS is completed, and two front imaging systems for remote sensing and tail flame detection applications are designed for selection. A SIIFTS prototype was built, and flame detection tests were conducted in a laboratory environment. The experimental results show that the SIIFTS developed here can accurately and stably obtain real-time image and spectral information from dynamic targets.
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