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A method for removing thick clouds from high-resolution remote sensing images based on step-by-step correction

A remote sensing image, high-resolution technology, applied in the field of remote sensing image processing, can solve problems such as loss of spatial details, local color inconsistency, difficulty in obtaining thick cloud removal results, etc., to achieve fast processing speed, good spatial continuity, and good color consistency sexual effect

Active Publication Date: 2022-06-07
WUHAN UNIV
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Problems solved by technology

However, because multi-temporal high-resolution images have more detailed information on ground features and more significant brightness differences and changes in ground features, traditional cloud removal methods based on brightness adjustment and phase regression usually have local color inconsistencies after restoration. and the loss of spatial details, it is difficult to obtain high-quality spatial seamless thick cloud removal results

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  • A method for removing thick clouds from high-resolution remote sensing images based on step-by-step correction
  • A method for removing thick clouds from high-resolution remote sensing images based on step-by-step correction
  • A method for removing thick clouds from high-resolution remote sensing images based on step-by-step correction

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[0032] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention. invention.

[0033] Thick cloud coverage leads to the loss of information in optical remote sensing images, which has adverse effects on applications such as mapping of large-scale remote sensing images. It can make full use of the complementary information of the cloud-free auxiliary image at the adjacent time of the cloud-covered target image, fill the cloud-covered area after gradual correction processing to realize cloud removal, and further perform residual correction to obtain a seamless and spatially continuous cloud-free image.

[0034] please see ...

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Abstract

The invention discloses a method for removing thick clouds from high-resolution remote sensing images based on step-by-step correction, through cloud mask optimization based on superpixel segmentation, cloud removal based on step-by-step local correction, and cloud removal region residual correction based on global optimization. In this step, the complementary information in the auxiliary image is used to reconstruct the thick cloud coverage area in the target image. The invention combines stepwise local correction and global optimization to correct the brightness of complementary information in the auxiliary image, which is used to fill the thick cloud coverage area in the target high-resolution image, thereby realizing the removal of thick cloud in the target image. This method of cloud removal has high precision, fast speed, strong scalability and high practical value.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and relates to a method for removing thick clouds from images, in particular to a method for removing thick clouds from high-resolution remote sensing images based on step-by-step correction. Background technique [0002] In the removal of thick clouds in high-resolution remote sensing images, it is usually necessary to fill in the thick cloud area in the target image through the complementary information of auxiliary temporal images. The traditional thick cloud removal methods based on brightness adjustment and time-phase weighted regression can achieve good results in the removal of thick clouds in medium and low spatial resolution images. However, because multi-temporal high-resolution images have more detailed information on ground features and more significant brightness differences and changes in ground features, traditional cloud removal methods based on brightness ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T7/11
CPCG06T7/11G06T2207/10032G06T5/73
Inventor 沈焕锋李志伟
Owner WUHAN UNIV
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