Hyperspectral imager and imaging method based on compressive sensing

A technology of hyperspectral imaging and compressed sensing, which is applied in the acquisition system and imaging field of hyperspectral compressed sensing data, and can solve problems that have not been raised

Inactive Publication Date: 2010-11-24
XIDIAN UNIV
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Problems solved by technology

[0011] At present, the theory of compressive sensing has been applied in the low-rate sampling and reconstruction of a single image; for hyperspectral images, the spectrum is wide, the amount of data is large, and there is a strong correlation between spectral segments, the theory of com...

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  • Hyperspectral imager and imaging method based on compressive sensing

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Embodiment Construction

[0048] refer to figure 1 with figure 2 , the hyperspectral imager based on compressive sensing of the present invention comprises a lens group, a dispersive element, a spatial light modulator, a line array detector and a peripheral circuit, the buffer module in the peripheral circuit is directly connected with the spatial light modulator, and the line array detector It is directly connected to the memory in the peripheral circuit. Among them: the lens group includes the objective lens, entrance pupil and collimating mirror, which is used to present the image of the detected object as a line light source to the dispersion element; the dispersion element is located in the rear section of the lens group, and is used to disperse the line light source in the spectral dimension , forming a two-dimensional surface light source composed of the spatial dimension of the input line light source and the spectral dimension of dispersion, and the surface light source is directly output to...

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Abstract

The invention discloses a hyperspectral imager and an imaging method based on compressive sensing, mainly solving the problem that the existing hyperspectral imager has high sampling rate and high sensor realization difficulty. The imager comprises a battery of lens, a dispersive device, a spatial light modulator, a linear detector and a peripheral circuit. The acquired linear light source is split in the space through the dispersive device to form the plane light source formed by spatial dimension and spectral dimension. The plane light source converges again in the direction of spatial dimension after being modulated by the spatial light modulator to form the linear light source formed by spectral dimension. The linear detector completes sampling and quantizing. The imaging method is characterized by utilizing the obtained hyperspectral compressive observation vector to obtain the hyperspectral images through grouping and reconstitution. The hyperspectral imager improves the average reconstitution accuracy of each spectrum by utilizing the joint sparse characteristic among the hyperspectral spectra, has the advantages of simple structure and low cost and is suitable for compressive sensing and imaging of hyperspectra.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a hyperspectral compressed sensing data collection system and imaging method, which can be used for hyperspectral image collection and imaging. Background technique [0002] In recent years, in the fields of environmental monitoring, geology, agriculture, medicine, and military affairs, traditional full-color and color images are far from meeting people's needs, and various hyperspectral imaging technologies have been widely used. In the hyperspectral imager, the sensor detects the reflection or radiation intensity of hundreds of different wavelengths of the target, thereby forming hundreds of continuous spectral segments to form a spectral image. A hyperspectral image is defined as three-dimensional data composed of a two-dimensional spatial domain and a one-dimensional spectral domain. Unlike video sequence images, the positions in the spatial domain of each spectral s...

Claims

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Application Information

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IPC IPC(8): G01N21/27G01J3/28
Inventor 李云松吕靖原刘凯吴成柯
Owner XIDIAN UNIV
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