Hyperspectral camera, hyperspectral imaging device and control method

Abstract

The invention discloses a hyperspectral camera, a hyperspectral imaging device and a control method. The hyperspectral imaging device comprises an optical lens, an entrance slit, a light splitting system, a digital microreflector array, a linear array sensor and a controller, wherein the optical lens is used for collecting reflected light of materials; the entrance slit is positioned at a focal point of the optical lens, so that the reflected light is focused into the entrance slit; the light splitting system is used for splitting the reflected light incident from the entrance slit into a plurality of beams of monochromatic light; the digital microreflector array comprises a plurality of microreflectors, when the plurality of microreflectors are in a first state, the plurality of beams ofmonochromatic light are reflected by means of the plurality of microreflectors and then focused into a light beam line by means of the light splitting system; the linear array sensor is used for receiving the light beam line; and the controller is used for adjusting an operating mode of the digital microreflector array, so as to control a state switching sequence and switching time of the plurality of microreflectors. The hyperspectral imaging device has a low-spectral-resolution and high-speed scanning mode with wavelength arbitrarily selected or combined, and further has the advantage of lowcost.

Description

technical field [0001] The invention relates to the technical field of multispectral imaging, in particular to a hyperspectral camera, a hyperspectral imaging device and a control method. Background technique [0002] Hyperspectral technology is a technology formed by the cross fusion of spectroscopy and image technology. It can not only use image information to study the shape, size and distribution of targets, but also use spectral information to identify and classify substances. This technology was first used in the field of remote sensing, and was later introduced into the fields of medicine and agricultural testing. Also in the process of grain grading or waste recycling of agricultural products, hyperspectral technology can be used to automatically identify a variety of grains and waste products with complex shapes, but the huge number of grains and waste products requires scanning speed to be fast enough, and there are many wavelength data in the spectral data Theref...

AI Technical Summary

Problems solved by technology

Push-broom hyperspectral imaging has high spectral resolution and horizontal spatial average resolution, but its frame rate is low because all spectra in each row are collected, and its resolution in the direction of material movement is low; and because The area array sensor is used, and its cost is high, especially the near-infrared area array sensor with a wavelength greater than 1700nm. Manufacturers have less options and are very expensive.

Electronically controlled tunable filter imaging uses a voltage-tunable filter crystal plus a surface array sensor. The material does not need to move, and only the voltage can be adjusted to achieve spectral imaging with a selectable wavelength; the spectral resolution and two-dimensional The spatial resolution is high, the specified wavelength is selected for imaging, and the frame rate is fast, but the tunable filter crystals and area array sensors are more expensive, and the crystals and sensors in the near-infrared band are even more expensive

[0003] In the related art, the hyperspectral camera can obtain very rich spectral information because of its high spectral resolution, which can be used to detect and analyze agricultural diseases and medical ingredients. However, due to the large amount of spectral data, it cannot be applied to applications such as grain grading In online detection applications such as recycling and waste recycling, online detection applications require hyperspectral technology to have the function of arbitrary wavelength selection and high scanning speed, and have a low cost, but existing hyperspectral technologies or products cannot meet the above requirements

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