Remote sensing image defogging method under inhomogeneous cloud and fog condition

Abstract

The invention provides a remote sensing image defogging method under the inhomogeneous cloud and fog condition. The remote sensing image defogging method includes the following implementation steps: (1) inputting a foggy remote sensing image, conducting inhomogeneous cloud and fog preprocessing, and obtaining a degraded image evenly influenced by fog; (2) obtaining the transmittance and the daylight value of the evenly-degraded image through a basic defogging algorithm; (3) solving an atmospheric point spread function of the image through the adoption of generalized Gaussian distribution according to the transmittance; (4) obtaining a final defogged image in cooperation with an atmosphere multiple scattering image degradation model through the adoption of the obtained daylight value, the obtained transmittance of the degraded image and the atmospheric point spread function of the image. As for the problem of remote sensing image degradation caused by inhomogeneous cloud and fog, inhomogeneous cloud and fog removing is achieved through the adoption of image information, the image transmittance is obtained from the image, the atmospheric point spread function is solved, and finally image final defogging is achieved through the atmosphere multiple scattering image degradation model; the contrast ratio and the definition of the image are improved, and details of the image are increased.

Description

technical field [0001] The invention relates to computer image processing technology, in particular to a computer image processing method for remote sensing image defogging under non-uniform cloud and fog conditions. Background technique [0002] In the process of remote sensing imaging, optical radiation not only depends on the observation target, but also is affected by the absorption and scattering of various gases and aerosol particles in the atmosphere. Inevitable atmospheric interference in the imaging process usually leads to the degradation of imaging quality, especially in the case of optical remote sensing earth observation based on satellites, stratosphere, and aviation platforms (especially sideways, oblique shooting), the imaging distance is very far and thus The optical thickness of the atmosphere increases, resulting in a decrease in the contrast and color saturation of the captured image, and the loss of target detail information, thereby greatly reducing the...

AI Technical Summary

Problems solved by technology

However, the current mainstream fog image degradation model does not consider the convolution degradation of the image due to the proximity effect caused by atmospheric scattering caused by atmospheric particles, aerosols, and air turbulence during the long-distance transmission process before the scene target reaches the imaging camera. The current mainstream model is based on the assumption that the atmosphere is uniformly distributed during the imaging process

However, side swing and oblique shooting make the imaging field of view of remote sensing images larger, which leads to the impact of non-uniform atmospheric clouds and fog on image degradation, making the current mainstream image defogging methods unable to obtain ideal image restoration effects

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