Full-polarization hyperspectral image compression and reconstruction method based on Stokes parameter partitioning

Abstract

The invention discloses a full-polarization hyperspectral image compression and reconstruction method based on Stokes parameter partitioning, and the method can increase the degree of freedom of polarization compression, improve the pertinence and reconstruction precision of polarization reconstruction and shorten the overall reconstruction time. A to-be-detected full-polarization hyperspectral image is imaged on a detector by adopting the combination of a quarter-wave plate and a liquid crystal adjustable filter, and different full-polarization modulation modes are realized by selecting the fast axis angle of the quarter-wave plate and the incident plane angle of the liquid crystal adjustable filter. For the combination of one fast axis angle and two incident plane angles, a first Stokesparameter S0 is solved by using a summation method, and the last three Stokes parameters S1S2S3 are reconstructed; for the combination of 2-3 fast axis angles and 1 incident plane angle, S1S2S3 are reconstructed by using a differencing method, and then S0 is solved; and for the combination of 1-3 fast axis angles and 1 incident plane angle, S0 is reconstructed by using a scaling method, and then S1S2S3 are reconstructed. And finally, a reconstructed full-polarization hyperspectral image is obtained.

Description

technical field [0001] The invention belongs to the technical field of polarization spectrum imaging, and in particular relates to a full polarization hyperspectral image compression and reconstruction method of Stokes parameter blocks. Background technique [0002] Hyperspectral imaging can reflect the fine spectral and spatial distribution characteristics of targets, and has been widely used in agricultural and industrial production fields. Polarization information can reflect many physical and chemical properties of the target, such as surface texture and laser damage, and has been widely used in agricultural monitoring, food control, biomedical diagnosis, environmental detection and other fields. Polarization hyperspectral imaging can obtain the spatial, spectral and polarization information of the target scene, and has broad development prospects in the field of non-destructive and accurate detection and analysis. However, the traditional Fourier Transform Spectropolar...

AI Technical Summary

Problems solved by technology

However, the value of the first Stokes parameter is significantly higher than that of the last three, leading to poor results for simultaneous reconstruction of all four Stokes parameters in the case of compressed measurements

Optimizing the sparse basis provides a solution for reconstructing four Stokes parameters at the same time, but the optimization time is long, and for different polarization modulation methods, an independent optimization process is required, that is, the sparse basis obtained by optimization is not universal

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