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A remote sensing optical image dense cloud detection method and system assisted by SAR image information

An optical image and image information technology, applied in the field of remote sensing optical image dense cloud detection, can solve the problems of low operating efficiency and high computational complexity, and achieve the effect of improving the ability of dense cloud detection and removal

Active Publication Date: 2022-06-07
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the above method uses two generative adversarial networks on the entire image, which has high computational complexity and low operating efficiency

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  • A remote sensing optical image dense cloud detection method and system assisted by SAR image information
  • A remote sensing optical image dense cloud detection method and system assisted by SAR image information
  • A remote sensing optical image dense cloud detection method and system assisted by SAR image information

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Embodiment Construction

[0047] The preferred embodiments of the present invention are elaborated below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so that the scope of protection of the present invention is more clearly and unambiguously defined.

[0048] See Figure 1 As shown, the present embodiment discloses a SAR image information-assisted remote sensing optical image thick cloud detection method, comprising the following steps:

[0049] Step S1, the remote sensing SAR image and the remote sensing optical image are evenly divided into image blocks.

[0050] Specifically, the remote sensing SAR image is recorded as I s , remote sensing optical image is I o , image I s and I o The size is W×H, where W is the width of the image and H is the height of the image; w is the set image block size; Both remote sensing SAR images and remote sensing optical images are available image blocks, w...

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Abstract

The invention discloses a remote sensing optical image thick cloud detection method and system assisted by SAR image information. The method includes S1, dividing the remote sensing SAR image and the remote sensing optical image evenly into image blocks; S2, calculating the SAR image block and the optical image block HOG feature; S3, fuse the HOG features of the SAR image block and the optical image block; S4, input the fusion feature of the image block into the pre-trained detection network for dense cloud detection; S5, if an optical image block containing dense clouds is found The corresponding SAR image block is used for replacement. The invention improves the capability of dense cloud detection and removal by means of SAR image information.

Description

Technical field [0001] The present invention relates to the field of remote sensing image processing technology, more particularly, to a SAR image information-assisted remote sensing optical image thick cloud detection method and system. Background [0002] Affected by cloudy weather, remote sensing optical images are usually obscured by clouds, resulting in the inability to obtain clear remote sensing images, affecting the interpretation of key features in remote sensing images. According to the thickness of the cloud layer, it can be divided into two cases: thin clouds and thick clouds, thin clouds reduce the clarity of the optical image, and thick clouds make the covered optical image area completely invisible. Thick clouds have a greater impact on optical images than thin clouds and must be removed before interpreting remotely sensed optical images. [0003] Synthetic Aperture Radar (SAR) images are not affected by weather, clouds, or fog. The information provided based on SA...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06T7/11G06T7/90G06V20/00G06V10/50G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/337G06T7/11G06T7/90G06T2207/10032G06T2207/20021G06F18/253
Inventor 付耀文张文鹏杨威许淑芳孙晓镒
Owner NAT UNIV OF DEFENSE TECH