A hyperspectral super-resolution computational imaging system based on compressed sensing

Abstract

The invention discloses a hyperspectral super-resolution computational imaging system based on compression sensing, which comprises a liquid crystal adjustable filter, a spatial coding module, an areaarray detector, a compression reconstruction module and a super-resolution module. After the original image passes through the LCD adjustable filter and the spatial coding module, it is detected by the area array detector to obtain the hyperspectral data which is compressed in space and spectral dimension. The compression reconstruction module is configured to reconstruct the hyperspectral data by using a compression sensing reconstruction algorithm to obtain a restored low-resolution hyperspectral image. A super-resolution module is configured to recover a high-resolution hyperspectral imagefrom only the low-resolution hyperspectral image without supplementing the high-resolution RGB image by utilizing the non-local self-similarity of the hyperspectral image. The super-resolution moduleis configured to recover a high-resolution hyperspectral image from the low-resolution hyperspectral image without supplementing the high-resolution RGB image. At that same time, the system does notneed to add additional optical path to realize the super-resolution reconstruction of the hyperspectral image.

Description

technical field [0001] The invention belongs to the technical field of spectral imaging, in particular to a hyperspectral super-resolution computing imaging system based on compressed sensing. Background technique [0002] The hyperspectral imaging system can provide tens to hundreds of continuous narrow-band information for each pixel of surface objects, and its spectral resolution reaches the order of nanometers, which contains a wealth of surface object type information. The emergence and development of hyperspectral imaging system has greatly improved people's ability to observe and understand things through remote sensing technology, and has attracted widespread attention from all over the world. It plays an important role in geological survey, vegetation research, atmospheric observation, agricultural production, national defense and military affairs, etc. effect. [0003] Hyperspectral images are composed of three-dimensional image data of different spectral segments...

AI Technical Summary

Problems solved by technology

[0007] In view of this, the present invention aims at the problems of traditional hyperspectral imaging system data storage, transmission, processing pressure and low spatial resolution of acquired images, and proposes a A hyperspectral super-resolution computational imaging system based on compressed sensing to reduce the pressure on the data acquisition end, and the system can achieve super-resolution reconstruction of hyperspectral images without adding additional optical paths

Images