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Method for evaluating star-loaded optical remote sensing image compression quality

An optical remote sensing image compression quality technology, applied in the field of satellite remote sensing image processing and analysis, can solve problems such as poor pertinence and gray variance

Active Publication Date: 2009-07-08
CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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Problems solved by technology

[0032] 2) Gray variance
[0063] The evaluation method mentioned in prior art 2 is a general image quality evaluation method, which is not very specific
[0064] These evaluation methods are only aimed at the evaluation of image texture details, and the impact of compression on image quality is not limited to the impact on image texture details

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  • Method for evaluating star-loaded optical remote sensing image compression quality
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Embodiment Construction

[0117] In this part, the embodiments of the present invention will be given and described in detail, so as to better illustrate the characteristics and functions of the present invention and make the present invention easier to understand, rather than to limit the protection scope of the present invention.

[0118] First introduce the gray co-occurrence matrix, image matching based on correlation coefficient, and image matching based on least squares method.

[0119] gray level co-occurrence matrix

[0120] Starting from a pixel with a gray value i, another pixel with a distance of (Dx, Dy) appears with a gray value j, defining the probability that these two gray values ​​occur in the entire image, or called frequency It is the gray level co-occurrence matrix, expressed in mathematics as

[0121] P(i,j,δ,θ)={(x,y)|f(x,y)=i,f(x+Dx,y+Dy)=j} (27)

[0122] Wherein (x, y) is row, column number of two-dimensional image, x=0,1,...M-1, y=0,1,...N-1;

[0123] i, j=0,1,...L-1, L=256 ...

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Abstract

The present invention provides a method for evaluating compression quality of satellite-loading optical remote sensing image. The method comprises the following steps: obtaining an analog original image; obtaining the image which is decompressed after compression; respectively analyzing the dynamic range of analog original image and dynamic range of compressed image; respectively analyzing the texture detail of analog original image and texture detail of compressed image; analyzing the application effect of compression to image; analyzing the interrelationship between the analog original picture and compressed image; and evaluating the compression quality of image after synthesizing each item of analytical result to analog original image and compressed image. The invention aims at the characteristic of satellite sensor for generating analog image, adopts a comprehensive method which mainly uses objective evaluation and uses subjective evaluation in auxiliary for evaluating compression quality of image fully, systemtically and purposely. A whole system for evaluating the compression quality of satellite-loading optical remote sensing image is constructed.

Description

technical field [0001] The invention belongs to the field of satellite remote sensing image processing and analysis, in particular to a method for evaluating the compression quality of satellite-borne optical remote sensing images. Background technique [0002] In order to effectively reduce the data transmission bandwidth or code rate and alleviate the pressure on ground receiving stations, data compression technology is widely used in the field of remote sensing satellites, especially almost all high-resolution remote sensing satellites use lossy compression technology. Although remote sensing image compression can improve the efficiency of transmission and storage, it cannot be at the expense of excessive loss of image quality, and the image quality loss caused by compression must be controlled within an acceptable range for remote sensing image applications. Therefore, a reasonable remote sensing image compression quality evaluation method must be proposed. [0003] At ...

Claims

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Application Information

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IPC IPC(8): H04N17/00
Inventor 郭建宁曾湧赫华颖
Owner CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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