Liquid crystal hyperspectral calculation imaging measurement device and method of three-dimensional encoding

Abstract

The present invention provides a liquid crystal hyperspectral calculation imaging measurement device of three-dimensional encoding. The device comprises a front-end lens 2, a wave band selection and splitting module 3, a space encoding module 4, a collimating lens 5, an area-array detector 6, a data storage module 7 and a calculation reconfiguration module 8; and based on the three-dimensional encoding, the measurement device performs projection measurement of the three-dimensional spectral data of an object consisting of two-dimensional space information and one-dimensional spectral information in the random encoding information, and performs dimensionality reduction of the hyperspectral data at the data collection phase to obtain the compressed hyperspectral data with the selected central wavelength. Compared to the traditional hyperspectral imaging system, the liquid crystal hyperspectral calculation imaging measurement device and method of three-dimensional encoding can realize the compressing sampling on the space, and can perform spectrum selection at the data collection phase so as to realize the data dimensionality reduction, avoid data redundancy, reduce the data volume, improve the information utilization and facilitate rear-end transmission and storage.

Description

technical field [0001] The invention belongs to the technical field of spectral imaging, and in particular relates to a three-dimensional coded liquid crystal hyperspectral calculation imaging measuring device and a measuring method. Background technique [0002] Spectral imaging technology is a technology that combines imaging technology and spectral technology. It can obtain image information and spectral information of the target scene at the same time. While studying the spatial structure of ground objects, it can obtain its physical characteristics and facilitate the detection of ground objects. , identification. In hyperspectral imaging, it is not only necessary to obtain high-resolution two-dimensional spatial information of the target scene, but also high-resolution spectral information. Therefore, the data volume of hyperspectral data is huge, which brings great challenges to storage, transmission and data processing. a lot of pressure. How to efficiently compress...

AI Technical Summary

Problems solved by technology

[0006] In the existing hyperspectral imaging and data processing, the dimensionality reduction of hyperspectral images is usually carried out after the data is acquired, that is, to select valid data that can be used for subsequent processing from a large amount of collected data, and discard them. A large amount of redundant data, which will inevitably lead to a waste of detector performance and data acquisition time

[0007] Traditional spectral imaging systems use prisms or gratings as spectroscopic elements. To obtain the spectral information of the entire scene, it needs to be scanned, and it is usually obtained by splicing linear array detectors. Since the imaging system is equipped with optical-mechanical scanning moving parts, Its stability is difficult to guarantee, and it is bulky and not easy to carry

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