Principal component analysis-based imaging spectral image super resolution restoration method

A technology of principal component analysis and imaging spectrum, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of high-resolution image spectral distortion and unbearable computational load, and achieve the effect of resolution improvement

Active Publication Date: 2014-05-14
BEIJING UNIV OF TECH
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Problems solved by technology

[0008] The existing technology does not fully consider the ability to maintain spectral dimension information in the super-resolution restoration process for the super-resolution restoration of imaging spectral images, resulting in the recon

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  • Principal component analysis-based imaging spectral image super resolution restoration method
  • Principal component analysis-based imaging spectral image super resolution restoration method
  • Principal component analysis-based imaging spectral image super resolution restoration method

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Embodiment Construction

[0062] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0063] First, the imaging spectrometer completes the acquisition of imaging spectral data, converts the optical signal of the target image into a digital image signal, and stores it in the memory of the acquisition device; The super-resolution restoration of imaging spectral images by principal component analysis, the obtained results are directly stored in the local hard disk for further analysis and processing of imaging spectral images.

[0064] General structural block diagram of the present invention sees figure 1 , mainly including the following steps:

[0065] Step 1, the computer reads the imaging spectral image from the storage device, and the entire image is represented by a three-dimensional array X;

[0066] Step 2, perform PCA transformation on the imaging spectral image, the method is as follows:

[0067] Step 2.1, read in the imaging ...

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Abstract

The invention discloses a principal component analysis-based imaging spectral image super resolution restoration method. The method includes the steps of principal component analysis, gray mapping and MAP-based first principal component super resolution restoration and all-band super resolution restoration of an imaging spectral image. According to the principal component analysis-based imaging spectral image super resolution restoration method, the effective information of the imaging spectral image is concentrated on a first principal component through PCA transform, with the super resolution restoration of the first principal component simply realized, the spatial resolution of all bands can be improved, and therefore, the amount of computation is small; mapping from panchromatic image high-frequency information to a first principal component image can be realized through establishing a gray mapping model and based on the correlation between the first principal component and a panchromatic image after the PCA transform, and the quality of a reconstructed high-frequency information can be further improved through MAP constrained optimization; and therefore, high-frequency information of the panchromatic image can be fully utilized, and the introduction of wrong information can be avoided, and the quality of a reconstructed high-resolution image can be ensured, and the problem of spectrum distortion caused by independent operation of each band can be effectively solved.

Description

technical field [0001] The invention relates to a method for super-resolution restoration of imaging spectral images, in particular to a method for super-resolution restoration of imaging spectral images based on principal component analysis (Principal Component Analysis, PCA). Background technique [0002] Imaging spectroscopy technology is a new remote sensing technology that developed rapidly in the 1980s. It obtains the radiation information of surface features in dozens or even hundreds of bands at the same time with ultra-high spectral resolution at the nanometer scale, so it can acquire ground features While collecting the spatial information of the target, it detects its internal physical characteristics and composition. Imaging spectroscopy technology is widely used in resource exploration, geological exploration, disaster relief and other fields. [0003] Spatial resolution and spectral resolution are two important parameters to measure the quality of imaging spec...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 王素玉侯义斌王博
Owner BEIJING UNIV OF TECH
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