A Snapshot Infrared Imaging Fourier Transform Spectrometer for Dynamic Target Detection

نویسندگان

چکیده

Infrared imaging spectrometry is utilized to detect and identify targets by collecting spectral images. In some cases, the infrared images of dynamic need be detected accurately, such as during remote sensing target tracking engine tail flame detection applications. However, it difficult obtain reliable measurement results when using a traditional spectrometer with scanning structure because motion artifacts. This work proposes snapshot Fourier transform (SIIFTS) based on stepped micromirrors lens array. Two sample information, array can realize multi-aperture imaging. The capable three-dimensional (3D) datasets single period, its absence artifacts ability without moving parts very important for detection. achromatic optical design SIIFTS completed, two front systems applications are designed selection. A prototype was built, tests were conducted in laboratory environment. experimental show that developed here accurately stably real-time image information from targets.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2022

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs14071543