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
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[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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