Least square method-based adaptive radiation correction method for linear array push-broom image

A technique of least squares and radiation correction, applied in image enhancement, image data processing, instruments, etc., can solve the problem of loss of gray distribution

Active Publication Date: 2012-09-12
SPACE STAR TECH CO LTD
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Problems solved by technology

[0007] The technical problem of the present invention is: to overcome the deficiencies of the prior art, and to propose a method for adaptive radiation correction of remote sensing images based on the least squares method, which solves the problems caused by using statistical models to correct the relative radiation of remote sensing i

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  • Least square method-based adaptive radiation correction method for linear array push-broom image
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  • Least square method-based adaptive radiation correction method for linear array push-broom image

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Embodiment Construction

[0084] The present invention is based on the linear array push-broom image adaptive radiation correction method based on the least square method, and the specific processing flow is as follows figure 1 shown.

[0085] 1. Calculate the column gray mean and standard deviation sequence of the linear array push-broom remote sensing image

[0086] The size of the image to be processed generated by the push-broom line-scan camera is M×N pixels, M is the total number of rows of the image, N is the total number of columns of the image, and M and N are both positive integers. For the push-broom line-scan camera In terms of, the value N is also equivalent to the number of probes of the push-broom line scan camera. The average gray value m of column j in the image j and gray standard deviation v j Can be expressed as:

[0087] m j = Σ i = 1 M ...

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Abstract

The invention relates to a least square method-based adaptive image radiation correction method with a linear array push-broom type. The method comprises the following steps that: a bad scanning column in an image is localized and weighted averaging is carried out on pixel gray values of normal columns at the left and the right of the bad scanning column to eliminate the influence of the bad scanning column on subsequent processing; a cause and a distribution characteristic of strips in a linear array push-broom image are analyzed and a strip column is adaptively determined according to a radiation correction precision value set by a user; for the strip column obtained by the determination, a least square method is used to carry out fitting calculation to obtain a relative radiation correction coefficient and relative radiation correction is carried out on all pixels of the strip column; and the relative radiation correction coefficient is stored into a database, thereby providing a query database for rapid subsequent application. According to the above-mentioned technical scheme, the relative radiation correction precision can be effectively ensured and it can also be guaranteed that physical significance of image data is not changed.

Description

technical field [0001] The invention relates to a linear array push-broom image self-adaptive radiation correction method based on the least square method, which belongs to the field of remote sensing image processing. Background technique [0002] With the rapid development of space technology, information technology and sensor technology, the resolution of remote sensing images has been greatly improved. Among all kinds of remote sensing imaging sensors, linear array CCD push-broom sensors are widely used. For example, foreign SPOT, IKONOS, QuickBird satellites and my country's CBERS-01 / 02, HJ1-A / B and other satellites are equipped with linear array CCD push-broom sensors. So far, the linear array push-broom sensor is an effective sensor for earth observation, and it is expected that this type of sensor will still have a good application prospect in the future. The linear array CCD camera adopts the push-broom imaging method, that is, the CCD line array is arranged on th...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李海超郝胜勇李申阳
Owner SPACE STAR TECH CO LTD
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