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High-resolution remote sensing image fusion method based on linear Bayesian estimation

A remote sensing image fusion and Bayesian estimation technology, applied in the field of remote sensing image processing, can solve the problems of relying on the correlation coefficient of multispectral images and panchromatic images, enhancing spatial details, etc.

Inactive Publication Date: 2014-02-12
上海知贤认证有限公司
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Problems solved by technology

[0006] The purpose of the present invention is to propose a high-resolution remote sensing image fusion method based on linear Bayesian estimation to solve the problem that the traditional statistical parameter estimation method relies on the correlation coefficient of multispectral images and panchromatic images, enhance spatial details, Maintain spectral properties

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  • High-resolution remote sensing image fusion method based on linear Bayesian estimation
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  • High-resolution remote sensing image fusion method based on linear Bayesian estimation

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[0054] Each composition in the invention is further described through the following examples.

[0055] 1 Set up the observation model

[0056] The low-resolution multispectral image can be considered to be obtained from the high-resolution multispectral image (if it exists) through low-pass filtering and downsampling [10]. The observation model is as follows:

[0057] y=Hz+u (4)

[0058] where u is random noise, its mean is zero, the covariance matrix is ​​Cu, and is uncorrelated with z; the H matrix represents the low

[0059] pass filtering and downsampling process.

[0060] Between panchromatic images and high-resolution multispectral images, there exists an observation model as shown below:

[0061] x=GTz+v (5)

[0062] Where v is random noise, its mean value is zero, the covariance matrix is ​​Cv, and is irrelevant to z; the G matrix represents the weighted average of the K bands of the high-resolution multispectral image, and the weighting factors are as follows:

...

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Abstract

The invention belongs to the technical field of remote sensing image processing, and particularly discloses a high-resolution remote sensing image fusion method based on linear Bayesian estimation. According to the high-resolution remote sensing image fusion method, an observation model between a high-resolution multi-spectrum image and a low-resolution multi-spectrum image and an observation model between the high-resolution multi-spectrum image and a full-color image are introduced, and the two observation models are connected to form a Bayesian linear model. Estimation on the high-resolution multi-spectrum image in the linear minimum mean square error sense is obtained by applying the Bayes Gauss-Markov theorem. According to the high-resolution remote sensing image fusion method, space details can be strengthened, the spectral characteristics are well kept, the performance of the high-resolution remote sensing image fusion method is better than the performance of a traditional HIS method, a traditional PCA method, a traditional wavelet transformation method, an existing Nishii method based on statistic parameter estimation and an existing Hardie method based on statistic parameter estimation, and new and effective technical supports are provided for improving the visual interpretation accuracy of a remote sensing image, the information definition and the reliability.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a high-resolution remote sensing image fusion method based on linear Bayesian estimation. Background technique [0002] Due to the limitations of remote sensing sensor design, remote sensing images generally have a compromise between spatial resolution and spectral resolution. Images with high spectral resolution generally do not have high spatial resolution, and vice versa. For example, the Landsat ETM+ sensor provides six multispectral band images with a spatial resolution of 30m and one panchromatic band image with a spatial resolution of 15m. In practical applications, images with both high spatial resolution and high spectral resolution can effectively improve the accuracy of interpretation and classification, so the fusion of remote sensing images with different resolutions has become a research hotspot, especially for low-resolution imag...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/89G01S7/48G06T5/50
CPCG06T5/50
Inventor 王飞
Owner 上海知贤认证有限公司
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