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Method and system for reconstructing multi-spectral calculation

A multi-spectral and multi-spectral image technology, applied in spectrum investigation and other fields, can solve the problem of losing details and achieve the effect of simple reconstruction, hyperspectral acquisition, and high spectral resolution

Active Publication Date: 2013-09-04
TSINGHUA UNIV
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Problems solved by technology

But in fact, the scene light that can be seen has a complete spectrum, and only capturing the three channels of RGB loses a lot of details in the spectral dimension

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  • Method and system for reconstructing multi-spectral calculation
  • Method and system for reconstructing multi-spectral calculation

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Embodiment Construction

[0048] The present invention discovers the inherent characteristics of the spectrum by statistically analyzing the spectral information in the low spatial resolution multispectral information, and then uses this law to guide the calculation and reconstruction of the high spatial resolution spectral information and the application of the multispectral information. The multi-spectral information calculation reconstruction method realized based on principal component analysis (PCA) of the present invention is as follows:

[0049] 1) Perform traditional principal component analysis (Principal Component Analysis) on the multispectral information of limited points in the scene collected by the existing multispectral acquisition system to obtain a set of spectral vector bases after linear transformation, that is, the principal components of the scene spectrum . According to the requirements for the reconstruction error level, select the first several principal components as the basis...

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Abstract

The invention discloses a method for reconstructing multi-spectral information calculation based on principal component analysis. The method comprises the following steps of: 1, acquiring two paths of multi-spectral images; 2, performing principal component analysis on the spectral information of sampling points of the multi-spectral images to obtain a principal component spectral vector basis; and 3, reconstructing the spectral information on the unknown spectral points according to the principal component spectral vector basis, red, green and blue (RGB) vectors which are acquired by a camera, an R channel integral curve of the camera, a G channel integral curve of the camera and a B channel integral curve of the camera. By the method, multi-spectral information can be more simply and more quickly reconstructed; the required scene spectral sampling points are few; and principal components of the multi-spectral information can provide instructive significance for related research.

Description

technical field [0001] The invention relates to the field of spectral calculation, in particular to a method and system for multispectral calculation and reconstruction. Background technique [0002] In recent years, computational photography has become an international frontier research hotspot in the fields of cross-vision, graphics, photography, and signal processing. How to computationally collect and reconstruct high-dimensional information of real scenes has attracted widespread attention. Carrying out related research work on scene multispectral information is of great significance for remote sensing monitoring, security investigation, digital entertainment and other fields. [0003] Traditional digital photography samples the two-dimensional projection subspace of high-dimensional scene signals (commonly represented by seven-dimensional plenoptic functions), and projects the high-dimensional scene information onto the two-dimensional sampling subspace of the camera f...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J3/28
Inventor 戴琼海马晨光曹汛
Owner TSINGHUA UNIV
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