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Spectral Measurements of Muzzle Flash with a Temporally and Spatially Modulated LWIR-Imaging Fourier Transform Spectrometer.
Yang, Zhixiong; Li, Kun; Yu, Chunchao; Yuan, Mingyao; Wang, Boyang; Feng, Jie.
Afiliación
  • Yang Z; College of Physics and Electronic Information, Yunnan Normal University, Kunming 650000, China.
  • Li K; Kunming Institute of Physics, Kunming 650223, China.
  • Yu C; Kunming Institute of Physics, Kunming 650223, China.
  • Yuan M; Kunming Institute of Physics, Kunming 650223, China.
  • Wang B; Kunming Institute of Physics, Kunming 650223, China.
  • Feng J; Kunming Institute of Physics, Kunming 650223, China.
Sensors (Basel) ; 23(8)2023 Apr 10.
Article en En | MEDLINE | ID: mdl-37112204
ABSTRACT
It is important to obtain information on an instantaneous target. A high-speed camera can capture a picture of an immediate scene, but spectral information about the object cannot be retrieved. Spectrographic analysis is a key tool for identifying chemicals. Detecting dangerous gas quickly can help ensure personal safety. In this paper, a temporally and spatially modulated long-wave infrared (LWIR)-imaging Fourier transform spectrometer was used to realize hyperspectral imaging. The spectral range was 700~1450 cm-1 (7~14.5 µm). The frame rate of infrared imaging was 200 Hz. The muzzle-flash area of guns with calibers of 5.56 mm, 7.62 mm, and 14.5 mm were detected. LWIR images of muzzle flash were obtained. Spectral information on muzzle flash was obtained using instantaneous interferograms. The main peak of the spectrum of the muzzle flash appeared at 970 cm-1 (10.31 µm). Two secondary peaks near 930 cm-1 (10.75 µm) and 1030 cm-1 (9.71 µm) were observed. Radiance and brightness temperature were also measured. The spatiotemporal modulation of the LWIR-imaging Fourier transform spectrometer provides a new method for rapid spectral detection. The high-speed identification of hazardous gas leakage can ensure personal safety.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China