A Snapshot Infrared Imaging Fourier Transform Spectrometer for Dynamic Target Detection

Abstract

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.

An Infrared Near‐Sensor Reservoir Computing System Based on Large‐Dynamic‐Space Memristor with Tens of Thousands of States for Dynamic Gesture Perception

“…[23,24] However, as far as we know, the wavelength of reported RCbased artificial vision systems was mainly concentrated on the visible spectrum [25] and ultraviolet spectrum, [19,24,26] and there are almost no reports on infrared near-sensor computing systems, although infrared detection has shown irreplaceable advantages in the field of flame detection, [27] thermal imaging [28] and dynamic target recognition. [29] The main reasons that hinder the development of infrared near-sensor systems are the drawbacks of conventional infrared detectors, such as large volume and low compatibility with the fabrication process of memristor. [30,31] These limitations are adverse to the integration of a compact system and need extra efforts and costs to realize sensor signal tight coupling.…”