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Quality Evaluation Method of Remote Sensing Image Based on Phase Consistency

A remote sensing image and quality evaluation technology, applied in the field of image processing and remote sensing image processing, can solve the problems of only considering the image, not comprehensively considering the relationship between the degradation parameters of the remote sensing image, and the evaluation results cannot better conform to the subjective evaluation. Comprehensive and accurate results

Active Publication Date: 2018-03-13
XIDIAN UNIV
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Problems solved by technology

However, the shortcomings of this method are that only the sharpness of the image is considered, and the quality of the image is represented by a single parameter, and the relationship between the degraded parameters in the remote sensing image is not considered comprehensively. The relationship between the evaluation results can not be better in line with the results of subjective evaluation

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  • Quality Evaluation Method of Remote Sensing Image Based on Phase Consistency
  • Quality Evaluation Method of Remote Sensing Image Based on Phase Consistency
  • Quality Evaluation Method of Remote Sensing Image Based on Phase Consistency

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Embodiment Construction

[0049] Reference figure 1 , To further describe the specific implementation of the present invention. .

[0050] Step 1. Input a remote sensing image to be evaluated.

[0051] The matlab software is used in the computer to read the remote sensing images stored in the hard disk space of the computer to be evaluated.

[0052] Step 2. Obtain the phase consistency value.

[0053] The following phase consistency formula is used to calculate the phase consistency of the remote sensing image in the band noise direction to obtain the phase consistency value.

[0054]

[0055] Among them, P(x,y) represents the phase consistency of the remote sensing image pixel (x,y); the closer P(x,y) to 1, indicates the phase consistency of the remote sensing image at the pixel (x,y) The better; ∑ represents the summation operation; o represents the direction of the Log-Gabor wavelet filter; E o (x,y) represents the filtering of the remote sensing image in the Log-Gabor wavelet filtering direction o, and the...

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Abstract

The invention discloses a method for evaluating the quality of remote sensing images based on phase consistency, which overcomes the disadvantage of using only a single parameter to characterize the quality of remote sensing images in the prior art. The realization steps are as follows: (1) input a remote sensing image to be evaluated; (2) Obtain the phase consistency value of the remote sensing image in the stripe noise direction; (3) Binarize the phase consistency value; (4) Obtain the stripe noise intensity matrix; (5) Calculate the stripe noise value; (6) Obtain the general noise information; (7) Calculate the general noise value of the remote sensing image; (8) Calculate the blur value of the remote sensing image; (9) Use the choquet fuzzy integral to obtain the comprehensive evaluation value of the remote sensing image; (10) Output Comprehensive evaluation value of remote sensing image quality. The invention has the advantages of no reference and comprehensive evaluation of remote sensing image quality, and can make the evaluation result better conform to the subjective evaluation.

Description

Technical field [0001] The present invention belongs to the technical field of image processing, and further relates to a remote sensing image quality evaluation method based on phase consistency in the technical field of remote sensing image processing. The invention can be applied to objectively evaluate the quality of remote sensing images, and is used to ensure the validity and accuracy of acquiring remote sensing image data. Background technique [0002] In the process of imaging, transmission and storage, remote sensing images are affected by the optical system, atmospheric environment and other factors, which will eventually cause the images obtained on the ground to have various image quality problems such as band noise, general noise, and blur. Image quality is an important index for comparing the performance of various remote sensing image processing algorithms and optimizing remote sensing optical system parameters. Therefore, it is of great significance to establish a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 王琳李霄师雪艳邵晓鹏马琳张少辉
Owner XIDIAN UNIV
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