Method for eliminating shadow based on match of inside and outside check lines of shadow area

Abstract

A method for eliminating a shadow based on match of inside and outside check lines of a shadow area comprises the steps that: the shadow area is obtained through shadow detection so as to generate the inside and outside check lines of the shadow area; for each shadow area, the corresponding grayscale curves of the inside and outside check lines are obtained through waveband iteration, the radiation difference between the shadow area and the periphery can be obtained through matching the grayscale curves, and radiation correction is carried out on the shadow area according to the radiation difference until the shadow area inside and outside radiation difference which is reflected by the corresponding luminance curves of the inside and outside check lines is small enough; and a transition area is built according to the inside and outside check lines and is feathered. The method for eliminating shadow is simple, has strong operability, not only can eliminate the macroscopic radiation difference between the shadow area and peripheral land features, but also is used for solving the detail transition problem of shadow boundaries, so that a good visual effect is obtained after eliminating the image shadows.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a shadow elimination method based on matching inspection lines inside and outside shadow areas. Background technique [0002] Shadows are a common physical phenomenon in nature, and the presence of shadows in remote sensing images will adversely affect object recognition and other related issues in computer vision and remote sensing image follow-up processing. The shadow phenomenon is also a special form of image degradation, which will cause the target information in the shadow area to be disturbed or lost, which is not conducive to the edge extraction of ground objects, target recognition, target tracking and land cover classification in computer image processing. The success rate of the matching algorithm has a greater impact on change detection based on remote sensing images. In order to achieve visual consistency of illumination and restore the groun...

AI Technical Summary

Problems solved by technology

At present, the more common shadow elimination method is to use the infrared band of the remote sensing image for radiation compensation. This method is generally better and more accurate, but most of the current high-resolution remote sensing images do not have the infrared band; the second is to use the hypothetical The shadow formation model performs radiation restoration on the shadow area. This method cannot obtain ideal results when the image imaging environment does not conform to the hypothetical model. In addition, the detail processing effect at the shadow boundary is not good; the third is to perform overall radiation processing on the remote sensing image, so that The shadowed area obtains radiation compensation, but this method also changes the information of the non-shaded area as a whole while compensating the shadow information, and the compensation effect cannot be judged

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