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Imaging spectral system and method based on compressed sensing and Hadamard transformation

A technology of compressed sensing and imaging spectrum, applied in the field of spectroscopy, can solve the problems of slow imaging speed, redundant imaging sampling, high detection dimension relative to point detection, etc., and achieve the effect of large dynamic range

Active Publication Date: 2014-02-12
NAT SPACE SCI CENT CAS
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Problems solved by technology

However, there are still some defects: 1) Hadamard transform spectroscopy is only for spectral detection and analysis, and still needs to be scanned in imaging; 2) in imaging, an area array detector or a line array detector is usually required to detect points in the opposite dimension High detection; 3) Slow imaging speed; 4) Although the signal-to-noise ratio of the spectrum is improved, the electrical noise is relatively large because the imaging still uses the classic area array or linear array push-broom detection; 5) Sampling redundancy for imaging

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  • Imaging spectral system and method based on compressed sensing and Hadamard transformation
  • Imaging spectral system and method based on compressed sensing and Hadamard transformation
  • Imaging spectral system and method based on compressed sensing and Hadamard transformation

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Embodiment Construction

[0044] The present invention will be further described now in conjunction with accompanying drawing.

[0045] Before describing the present invention in detail, the relevant concepts involved in the present invention will be described first.

[0046] Compressed Sensing (CS for short): Compressed sensing can perfectly restore the original signal in a random sampling manner with fewer data samples (far below the limit of the Nyquist / Shannon sampling theorem). The basic steps of compressed sensing include: firstly, using the prior knowledge, select the appropriate sparse base Ψ, so that the point spread function x is transformed by Ψ to get x' is the most sparse; in the known measurement vector y, measurement matrix A and sparse Under the condition of Ψ, the mathematical model y=AΨx'+e is established, and the convex optimization is carried out through the compressed sensing algorithm. After x' is obtained, the Inverts to x.

[0047] Hadamard transformation: The theoretical mod...

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Abstract

The invention relates to an imaging spectral system based on compressed sensing and Hadamard transformation. The imaging spectral system comprises a telescope unit, an imaging lens, a first expanded beam collimating lens, a first digital micro-reflector, a camera, a concave surface collimation reflector, a light splitting optical grating, a first convergent lens, a second digital micro-reflector, a second convergent lens, a light combining optical grating, a third convergent lens, a point detector, a Hadamard inverse transformation module and a compression calculation association module.

Description

technical field [0001] The invention relates to the field of spectroscopy, in particular to an imaging spectroscopy system and method based on compressed sensing Hadamard transformation. Background technique [0002] Imaging spectroscopy technology combines imaging technology and spectroscopy technology to form a spectral bandwidth detection covering the range from ultraviolet to far infrared. It is mainly used to obtain spatial two-dimensional information and spectral information of the measured target. It is a new type of multi-dimensional information acquisition technology. . The combination of imaging spectrum technology and real-time processing technology can quickly provide the ground with the spatial and spectral information of the detection target, improve the response speed, and accurately realize the qualitative research of the target. The rapid development of applications in fields such as crop pest and disease monitoring, water body detection, resource explorati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/28
Inventor 孙志斌俞文凯叶蔚然姚旭日翟光杰蒋远大杨震孟新
Owner NAT SPACE SCI CENT CAS
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