A tunable filter-type hyperspectral imager and method based on compressed sensing

Abstract

The invention discloses an adjustable light filter type hyperspectral imager and method based on compressed sensing. An imaging device is provided with an electric translation platform. A calculationcontrol module adjusts an object distance and an image distance of the imaging device to realize automatic focusing, which solves a problem that a space compression ratio of a traditional compressed sensing hyperspectral imaging system is fixed and can not be adjusted. A beam splitter is used to divide a scene spectrum into two parts which are collected by two LCTFs with different spectrum segments via two different optical paths, and the problem that the LCTF has a single imaging spectrum segment range in a hyperspectral compressed sensing imaging field is solved. According to an input compression ratio, basic parameters of the optical paths are automatically calculated, and the optical paths are automatically adjusted under the coordination of an electric displacement platform. A compressed sensing theory is combined with the LCTF so as to solve the problem that a spatial resolution is limited by the detector in traditional LCTF hyperspectral imaging.

Description

technical field [0001] The invention belongs to the technical field of hyperspectral imaging, and in particular relates to a compressive sensing-based tunable filter type hyperspectral imager and method. Background technique [0002] With the increasing application of spectral technology in environmental observation, disaster early warning, resource exploration, and target detection, the combination of spectral technology and traditional imaging technology has become a research and development hotspot for many institutions. Spectral imaging technology was proposed under this background and has made great progress in just a few decades. Space images have attracted more attention. In the field of traditional hyperspectral imaging technology, although the performance of imaging devices or spectroscopic devices can be improved regardless of the cost of manufacturing, the spatial resolution and spectral resolution often form mutual constraints due to the limited amount of light ...

AI Technical Summary

Problems solved by technology

[0006] 1) In the existing compressed sensing imaging system based on a fixed spatial encoding template, since the spatial structure of the template has been determined at the beginning of the design, even if the relative spatial position can be changed by mechanical movement, only a limited combination of spatial encoding methods can be realized , unable to use arbitrary optimized encoding templates for specific scenarios

[0007] 2) The existing compressive sensing imaging system using prisms as spectroscopic elements requires precise calculation of pixel misalignment to determine how to restore each single-band image, which requires high accuracy in installation and adjustment. At the same time, due to the Spatial structure has been determined, compressive sensing imaging with variable spatial compression ratio cannot be realized

[0008] 3) The existing compressed sensing imaging system with a prism as a spectroscopic element, its spectroscopic ability is limited by the device itself, and its spectroscopic capability cannot be changed. Generally, the detector is forced to receive all the signals that can pass through the spectrum, and cannot Select the required band according to the application scenario

This not only increases the burden of later data processing, but also makes unnecessary spectral information affect the actually required spectral information

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