Hyper-spectral compression imaging method and system thereof

Abstract

The invention discloses a hyper-spectral compression imaging method and a system thereof. The method comprises the following steps: carrying out first dispersion after imaging and collimation of an object; focusing an optical signal after dispersion and carrying out space intensity modulation; focusing the modulated optical signal again and carrying out second dispersion; focusing the optical signal after second dispersion, carrying out detection by a detector, carrying out acquisition by a computer, carrying out data resolution, and recovering a three-dimensional data cube of a shot object; wherein the first dispersion and the second dispersion are linear dispersion which are realized by employing a Prism-Grating-Prism device, dispersion directions of the first dispersion and the second dispersion are opposite, and the space intensity modulation is realized by employing a spatial light modulator. According to the invention, data amount is reduced, realization of data resolution of high fidelity is facilitated, and miniaturization design and imaging diversification of an imaging system are facilitated.

Description

technical field [0001] The invention relates to an imaging spectrum technology, in particular to a hyperspectral compression imaging method and a system for realizing the method. Background technique [0002] Hyperspectral imaging technology can obtain a three-dimensional data cube with two-dimensional space and one-dimensional spectrum of the captured scene. Since its birth in the 1980s, it has been widely used in atmospheric monitoring, resource surveying, forest protection, medical diagnosis and other fields. Traditional hyperspectral imagers need to use slits to limit the field of view, and the incident luminous flux is determined by the width of the slit, and increasing the slit width will reduce the spectral resolution of the spectral imager. For targets with weak light intensity and strong scattering, it is impossible to obtain high signal-to-noise ratio images while ensuring high resolution. The large number of 3D data cubes obtained by push broom brings difficultie...

AI Technical Summary

Problems solved by technology

[0005] 1. The imaging system model based on a single nonlinear dispersion device is nonlinear, so it is difficult to construct a high-fidelity data solution method, and the accuracy of recovering the three-dimensional data cube of the shooting target through the collected two-dimensional image data is limited

[0006] 2. The dispersive device used is a prism. After the incident collimated light is dispersed, the outgoing light is turned at a certain angle compared with the incident light, which not only brings difficulties in optical path debugging, but also causes the size of the imaging system in the vertical direction of the optical axis to become larger. , which is not conducive to the miniaturization of the imaging system

[0007] 3. The unit size of

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