Wave band self-adaptive defogging optimization processing method for single remote sensing image

Abstract

The invention provides a waveband self-adaptive defogging optimization processing method for a single remote sensing image. The method is based on a remote sensing image initial dark channel prior defogging method. In order to solve the problem of abnormal darkness of high-brightness ground objects in an image after defogging by using an initial dark channel prior method, the method comprises thefollowing steps: firstly, extracting the high-brightness ground objects in the image by using spectral information, and then independently carrying out self-adaptive processing on the extracted high-brightness ground objects to reserve the spectral information of the high-brightness ground objects; and secondly, different degrees of processing needs to be carried out on each waveband in the remotesensing image, so that the problem that the defogged image is abnormally bluish is effectively avoided. Through optimization and improvement of the two aspects, cloud and mist pollution can be effectively removed, spectral information of ground objects can be effectively kept, and a satisfactory demisting effect is obtained on the whole.

Description

technical field [0001] The invention relates to a remote sensing image defogging processing method, in particular to a band adaptive defogging optimization processing method for a single remote sensing image, and belongs to the technical field of remote sensing image processing. Background technique [0002] With the rapid development of remote sensing technology and computer technology, the application of remote sensing images has entered a new stage. In many fields of current social life and production, remote sensing images play an extensive and important role. However, in the actual application process, remote sensing images are usually affected by climate and environment, especially in areas covered by clouds or haze. These cloud pollution greatly affect the true and accurate reflection of remote sensing images on the surface information, not only from the visual The above influence interferes with human interpretation, and at the same time, it will also have a signific...

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Problems solved by technology

Therefore, using the initial dark primary color method to dehaze these areas, the problem of overprocessing will occur

[0013] Second, the image is abnormally bluish after defogging

However, the initial dark channel prior method does not take this into account. For the three visible light bands of RGB, the

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