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Method for measuring maximum signal to noise ratio of remote sensing image

A technology of remote sensing images and measurement methods, applied in image analysis, image data processing, instruments, etc., can solve the problems of human factors, poor repeatability, and lack of universality, and achieve good repeatability and calculation result only effect

Active Publication Date: 2014-12-24
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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Problems solved by technology

Under the condition of a high-brightness uniform sample area, this type of method can measure the maximum signal-to-noise ratio of the image well. This kind of signal-to-noise ratio measurement method is not universal, and the signal-to-noise ratio of most images, especially cities and surrounding areas that are highly affected by human activities, which is the most utilized remote sensing image, cannot Measurement
Even if there is a high-quality sample area on the image, the selection of the sample area is heavily dependent on manual intervention. For the same image, the measurement results are affected by the user's human factors, and the repeatability is not good.
Some researchers proposed an automatic measurement algorithm in the article "Image Signal-to-Noise Ratio Algorithm and Its Application in CBERS-1 Image Evaluation", but the actual effect is not ideal, and it has not been transformed into a practical technology for popularization and application.

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  • Method for measuring maximum signal to noise ratio of remote sensing image
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  • Method for measuring maximum signal to noise ratio of remote sensing image

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[0014] The method for measuring the maximum signal-to-noise ratio of remote sensing images will be described below with reference to the accompanying drawings.

[0015] Such as figure 1 As shown, the steps of the method for measuring the maximum signal-to-noise ratio of remote sensing images are as follows:

[0016] 1. Obtain a remote sensing image to be measured with a size of M×N, and set the size of each sampling sample area to be m×m, where m≤M and m≤N; said m, M, and N are positive integers. In the experiment, the remote sensing image to be tested adopts the multi-spectral image of Gaofen-1, including four spectral bands of blue, green, red, and near-infrared (such as Figure 2 to Figure 5 Shown), each spectral segment image size M=4296, N=4548, m=9;

[0017] 2. Programming traverses the entire remote sensing image to be tested according to the size of each sampling sample area set in the previous step, and slides one pixel at a time to obtain K sample areas, where K is...

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Abstract

The invention provides a method for measuring the maximum signal to noise ratio of a remote sensing image. The method for measuring the maximum signal to noise ratio of the remote sensing image comprises the steps that an image sample area is extracted automatically through a sliding window, traversal analysis is conducted on an image to be tested, multiple sample statistic extreme values of the image are obtained, and then the maximum signal to noise ratio of the image to be tested is calculated by combining the sample statistic extreme values. According to the method for measuring the maximum signal to noise ratio of the remote sensing image, the detail information of the image can be effectively mined, the defect that according to existing main methods, the requirements for a sample area for measurement of the maximum signal to noise ratio are high is overcome, and the universality is achieved; in addition, measurement is conducted automatically, the influence of human factors is avoided, the unique maximum signal to noise ratio measurement result is obtained, and the repeatability is high. Based on all the advantages, the method has the broad application prospect and high application value in extraction and evaluation of information of remote sensing images.

Description

technical field [0001] The invention belongs to the field of image measurement and relates to a method for measuring the maximum signal-to-noise ratio of remote sensing images. Background technique [0002] Signal-to-noise ratio (SNR) is a key indicator of remote sensing image quality evaluation. The current mainstream remote sensing image signal-to-noise ratio measurement method, such as the reference "GJB5088-2002 resource satellite on-orbit image quality evaluation method"; "QJ20099.1- 2012 Land Observation Satellite Remote Sensing Image Quality Evaluation Method"; "Gaofen-1 satellite image quality on-orbit test evaluation" mentioned that it is necessary to first artificially select a uniform sample area (block), and then press the row / column / block of the image to be tested Calculate the mean and standard deviation, the ratio of the two is the SNR of the row / column / block, and the mean or block SNR of all rows / columns in the sample area is the image SNR. Under the conditi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 王殿中高慧婷鲍云飞刘薇邢坤曹世翔李岩
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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