Remote sensing image quality evaluation method based on phase congruency

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. The effect of precise results, comprehensive results

Active Publication Date: 2015-06-03
XIDIAN UNIV
View PDF6 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Remote sensing image quality evaluation method based on phase congruency
  • Remote sensing image quality evaluation method based on phase congruency
  • Remote sensing image quality evaluation method based on phase congruency

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] refer to figure 1 , to further describe the specific embodiments of the present invention. .

[0049] Step 1, input a remote sensing image to be evaluated.

[0050] Use Matlab software in the computer to read the remote sensing images stored in the hard disk space of the computer to be evaluated.

[0051] Step 2, obtain the phase consistency value.

[0052] The following phase consistency formula is used to calculate the phase consistency of the remote sensing image in the stripe noise direction, and the phase consistency value is obtained.

[0053] P ( x , y ) = Σ o E o ( x , y ) Σ o ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a remote sensing image quality evaluation method based on phase congruency, and aims to overcome the defect in the prior art that the remote sensing image quality is only represented through a single parameter. The remote sensing image quality evaluation method comprises the following steps: (1) inputting a remote sensing image to be evaluated; (2) acquiring a phase congruency value of the remote sensing image in a strip noise direction; (3) performing binarization processing on the phase congruency value; (4) acquiring a strip noise intensity matrix; (5) calculating a strip noise value; (6) acquiring ordinary noise information; (7) calculating an ordinary noise value of the remote sensing image; (8) calculating an ambiguity value of the remote sensing image; (9) acquiring a comprehensive evaluation value of the remote sensing image by using a choquet ambiguity integral; (10) outputting the comprehensive evaluation value of the remote sensing image. The remote sensing image quality evaluation method has the advantages that no reference is needed, the quality of the remote sensing image can be comprehensively evaluated, and the evaluation result can relatively well accord with subjective evaluation.

Description

technical field [0001] The 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 degradation 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 the parameters of remote sensing optical systems. Therefore, it is of great significan...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products