LED-based low-cost active hyperspectral detection system

Abstract

The invention discloses an LED-based low-cost hyperspectral detection system, comprising: a light source module, a light splitting module, a sampling module and a data processing module. The light splitting module sorts each LED according to a peak wavelength, and sequentially turns on the LED lamp separately to complete a light splitting process of the hyperspectral detection system; the drivingcurrent of the LED is adjusted to change the spectral distribution and the peak wavelength of a light beam, and current modulation is applied to the LED light source, thereby improving the light splitting precision; the data processing module uniformly divides a hyperspectral image cube into sub-cubes, sequentially arranges an unfolded two-dimensional matrix of each sub-cube in a sub-cube group onthe direction of column, merges the two-dimensional matrices into a two-dimensional matrix, and achieves the low-rank constraint of the hyperspectral image cube on the spectrum and the space throughthe rank of the two-dimensional matrix for removing all kinds of different noise; and a spatial-spectral dictionary of sparse representation is learned by using a dictionary learning algorithm according to the above sub-cubes, and the dictionary is used for improving the spectral resolution of a hyperspectral data cube.

Description

technical field [0001] The invention relates to the technical field of hyperspectral detection, in particular to an LED-based low-cost active hyperspectral detection system. Background technique [0002] In the process of modern scientific research, in most cases, the distribution characteristics of spatially inhomogeneous samples must be analyzed and confirmed. Traditional spectrometers can only scan the sample with a focused lens or obtain the average characteristics of the entire sample. This spectral and spatial information cannot be obtained. The limitations of both have prompted the emergence of hyperspectral imaging technology. Based on the spectral analysis theory of matter, hyperspectral imaging technology involves optical methods and device design, imaging technology, photoelectric detection, signal processing and information mining, spectral information transmission theory, research on spectral characteristics of ground objects, etc. It is an important space at pr...

AI Technical Summary

Problems solved by technology

Regardless of the spectroscopic method, only one monochromatic light is needed for each imaging, and most of the energy of the polychromatic light is filtered out, so the utilization rate of the light source is too low, and the energy transition is wasted

In addition, the above detection methods rely on spectroscopic devices, the structure is relatively complex, and the cost is too expensive, which cannot meet the urgent needs of industrialization and civilian use of hyperspectral imaging detection systems

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