Method for compressed sensing features of spectrum

A spectral feature and spectral technology, applied to the recognition of patterns in instruments and signals, character and pattern recognition, etc.

Active Publication Date: 2018-09-11
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0004] Feature reconstruction can avoid subsequent operations such as spectral information processing and feature extraction after reco...

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  • Method for compressed sensing features of spectrum
  • Method for compressed sensing features of spectrum
  • Method for compressed sensing features of spectrum

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Embodiment Construction

[0072] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described examples are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0073] The present invention proposes a compressed spectral feature sensing method, which is a method of using training spectral data to design a measurement matrix to realize spectral feature sensing. The specific process is as follows figure 1 shown.

[0074] First, preprocessing and structural analysis are performed on the given training spectral data, and then the feature dimension is estimated and the measurement matrix is ​​designed. At the same time, the phys...

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Abstract

The invention discloses a method for compressed sensing of the features of a spectrum, and the method can achieve the compressed extraction of a feature signal of a spectrum signal based on a constructed spectrum compression measurement matrix, and achieves the compressed sensing of the spectrum features. In addition, the method also proposes a physical implementation method for a spectrum compression measurement matrix Phi based on a DMD (digital micro-mirror device). The method can effectively avoid the signal reconstruction and feature extraction, and the measurement data can be directly used for classification and recognition, thereby greatly reducing the calculating and storage expenditure, and improving the obtaining efficiency of the spectrum information. Because the dimensions of aspectrum feature signal are smaller than the dimensions of a spectrum signal, the measurement data obtained through the method will be smaller than the measurement data of a conventional compressed spectrum imaging method.

Description

technical field [0001] The invention relates to a spectral information acquisition method, in particular to a compressed spectral feature sensing method. Background technique [0002] Spectral data can cover dozens or even hundreds of spectral frequency bands, and contains rich spectral features of targets, so it has important applications in the fields of target detection, classification, and identification. However, the spatial spectrum dimension of spectral data is high, which causes great difficulties in the acquisition, storage, and processing of spectral data, and at the same time poses a huge challenge to the real-time performance of spectral feature extraction and classification recognition. Compressive sensing theory provides a new idea for solving the dimension disaster of spectral data, which is expected to improve the efficiency of spectral data acquisition and processing. Compressed sensing theory shows that when the signal is sparse, the original signal can be...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/02G06F2218/08G06F18/211G06F18/2135G06F18/214
Inventor 王泽龙刘吉英叶钒袁翰谭欣桐严奉霞朱炬波
Owner NAT UNIV OF DEFENSE TECH
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