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Cloud microparticle data processing method based on optimized clustering

A micro-particle and sub-data technology, applied in image data processing, image analysis, instruments, etc., can solve the problems of pixel loss, particle fragmentation, affecting the inversion accuracy of cloud micro-particle classification and identification of cloud micro-physical parameters, etc., to improve robustness. performance, improved accuracy and reliability

Pending Publication Date: 2022-07-15
北京市人工影响天气中心 +1
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Problems solved by technology

[0004] The data collected by the cloud particle detection equipment often has particle fragmentation, pixel loss, false targets, etc. These disturbances will lead to a decrease in the quality of the cloud particle data, affecting subsequent cloud particle classification and identification, cloud microphysical vertical structure analysis, and cloud microphysical parameter inversion accuracy, and may even further affect the operation effect of artificial influence in the cloud precipitation process

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  • Cloud microparticle data processing method based on optimized clustering

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Embodiment Construction

[0031] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention. The flowchart of the method is as follows: figure 1 shown, including the following steps:

[0032] A cloud particle data processing method based on optimized clustering mainly includes the following steps:

[0033] Step 1: Divide the original cloud particle image data collected by the cloud particle detection device into a data set to obtain a sub-dataset D composed of the original cloud particle image data N and random raw cloud particle image dataset R N , where N is the dataset number;

[0034] Step 2: For each random original cloud particle image dataset R obtained in step 1, respectively N All image data in the image pre-clustering method is processed. By setting different pixel block size parameters and search range parameters, different pre-clustered cloud par...

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Abstract

The invention relates to a cloud microparticle data processing method based on optimized clustering, which mainly comprises the following steps of: firstly, carrying out data set division and screening on original cloud microparticle image data acquired by cloud microparticle detection equipment, and then carrying out image pre-clustering method processing on all image data; pixel block merging and cloud microparticle area extraction are carried out on the pixel block image data, clustering processing based on various pixel block size parameters and various search range parameters can be carried out on the cloud microparticle data which are randomly screened through the method, and different clustering processing is carried out on original cloud microparticles in different acquisition time periods; different clustering results of the cloud microparticle data are analyzed based on the specific value dispersion, and the accuracy and reliability of cloud microparticle region extraction are improved.

Description

technical field [0001] The invention belongs to the field of image processing and meteorology, and particularly relates to pre-clustering of cloud particle image data on data obtained by an airborne cloud particle detection device, and extracting cloud particle image data on this basis. Background technique [0002] As the main detection method of my country's modern cloud microphysics technology research, the aircraft cloud-penetrating experiment is a cutting-edge observation technology developed in China in recent years. Compared with the use of radar and other remote sensing equipment to observe clouds, the cloud information obtained by the cloud particle imager More accurate and intuitive, the use of airborne detection equipment to obtain cloud particle images has become the basis of cloud microphysics research. Effective quality control of the raw data obtained by the cloud particle imager is the research basis for cloud particle shape identification, cloud microphysics ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/50G06V10/762G06K9/62G06T7/60
CPCG06T7/60G06F18/23
Inventor 赵德龙刘说周嵬肖伟杜远谋盛久江田平王飞陈羿辰黄梦宇何晖丁德平
Owner 北京市人工影响天气中心