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A Method for Extracting Information of Wavy Cloud Arrangement Based on Analysis of Cloud Block Main Body Skeleton

An information extraction and wavy cloud technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of cirrus cloud, cumulus cloud confusion, insufficient wavy cloud recognition, unsatisfactory wavy cloud recognition results, etc. Effects of Roughness at Boundary Ends

Active Publication Date: 2017-02-15
PLA UNIV OF SCI & TECH
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Problems solved by technology

[0004] However, judging from the results of these studies, the recognition results of wavy clouds are not ideal, and they are easily confused with cirrus and cumuliform clouds. There is no significant difference in the , which is not sufficient to distinguish the wave cloud from its own similar clouds

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  • A Method for Extracting Information of Wavy Cloud Arrangement Based on Analysis of Cloud Block Main Body Skeleton
  • A Method for Extracting Information of Wavy Cloud Arrangement Based on Analysis of Cloud Block Main Body Skeleton
  • A Method for Extracting Information of Wavy Cloud Arrangement Based on Analysis of Cloud Block Main Body Skeleton

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Embodiment Construction

[0036] The present invention decomposes the cloud image using a layering method, then extracts the outline of the main body of the wavy cloud through threshold segmentation and image opening and closing operations, extracts the cloud block arrangement slope and line segment length on the basis of the main body, and finally further calculates the wavy cloud by scoring The arrangement direction of cloud blocks provides a new feature for the identification of wave clouds. In order to make the purpose, technical solutions and innovations of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and experiments.

[0037] figure 1 It is a flowchart of a method for extracting wavy cloud arrangement information based on cloud block main body skeleton analysis proposed by the present invention. Such as figure 1 As shown, the method includes the following steps:

[0038] Step 1, perform hierarchical...

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Abstract

The invention discloses a wave cloud arranging information extraction method based on cloud block main body framework analysis. The method comprises the following steps that: (1) a wave cloud original image is layered, and the image resolution ratio is reduced; (2) the layered image is segmented according to a cloud image threshold, and is subjected to opening-and-closing operation binarization processing, and a cloud contour image to be analyzed is obtained; (3) the image to be analyzed, i.e., a cloud image main body is extracted, and the extracted binarization cloud image main body is stacked with the wave cloud arranging original image; (4) 16 tri-radius templates are used for subducting the edge roughness phenomenon in the binarization cloud image main body; (5) main body veins of the cloud image main body image are extracted on the basis of the subducted binarization cloud image main body; and (6) the fitting slope and the line segment length obtained in the image are converted into an angle, and the vein direction features of the wave could are finally obtained.

Description

technical field [0001] The invention relates to a method for extracting wavy cloud arrangement information based on cloud block main body skeleton analysis, which is mainly used in automatic observation of cloud shapes. Background technique [0002] Clouds are one of the important elements that characterize weather and climate characteristics, and are also an external representation of the comprehensive effects of power, atmospheric heat, and water transport processes. They have a precursory effect on weather changes and are also important factors that affect climate models and climate forecasts. Due to the complexity of cloud changes, the world still mainly relies on eyesight for cloud observation at present. It is difficult to train personnel, the data is subjective, and the comparability is not good. It is especially difficult to observe accurately at night and when vertical visibility is poor. Therefore, realizing the automatic quantitative observation of clouds is of gr...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10
Inventor 刘磊高太长秦健韩文宇赵世军
Owner PLA UNIV OF SCI & TECH