Remote sensing image stripe removing method and device

Abstract

The embodiment of the invention provides a remote sensing image stripe removing method and device. The remote sensing image stripe removing method comprises the steps of: analyzing moon pixel gray value and dark current count value information of each single probe element to obtain moon irradiance gray cumulative sum information of each single probe element; and determining a gray correction coefficient of each single probe element according to the irradiance gray accumulation sum information of each single probe element and the irradiance information of the reference probe element so as to remove stripes of the earth observation remote sensing image according to the gray correction coefficient of each single probe element. An on-orbit multi-probe remote sensor is used, and the lunar probeis used for observing the lunar, so that the single-probe gray value correction coefficient is calculated according to the observed full-disc observation data of the lunar multi-probe remote sensor,and the gray correction is carried out on the remote sensing image acquired by each single probe according to the single-probe gray value correction coefficient, so that the stripe phenomenon in the original earth observation image is effectively eliminated.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method and device for removing stripes of remote sensing images. Background technique [0002] Image streak removal is a classic problem in the field of remote sensing image processing. There are many mature methods in the prior art, such as cumulative probability function method and wavelet transform method. The cumulative probability method needs to count a large number of samples of the earth observation data of multiple detectors to ensure that the statistical samples include all the states of the detector observation data. The wavelet transform method will lose the original detail information of the image in the process of transforming and filtering. These methods mainly focus on the statistical characteristics of the gray value of the image itself, and do not fundamentally solve the fringe problem from the link of image generation. [0003] In many cases,...

AI Technical Summary

Problems solved by technology

The wavelet transform method will lose the original detail information of the image in the process of transform filtering.

These methods mainly focus on the statistical characteristics of the gray value of the image itself, and do not fundamentally solve the stripe problem from the image generation link.

[0003] In many cases, the effect of removing image stripes is often not good enough through post-image processing, and solving the problem of image stripes in the image generation process can often get better removal effects

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