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A method and device for precipitation particle identification based on kmeans clustering

A technology of kmeans clustering and precipitation particles, which is applied in the field of data processing, can solve the problems of inaccurate identification of precipitation particles, and achieve the effect of avoiding phase folding, ensuring continuity and improving accuracy

Active Publication Date: 2022-07-29
SUN YAT SEN UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to provide a method for identifying precipitation particles based on Kmeans clustering to solve the problem of inaccurate identification of precipitation particles containing noise in the prior art

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  • A method and device for precipitation particle identification based on kmeans clustering
  • A method and device for precipitation particle identification based on kmeans clustering
  • A method and device for precipitation particle identification based on kmeans clustering

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Embodiment Construction

[0047]The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] It should be understood that the step numbers used in the text are only for the convenience of description, and are not intended to limit the order in which the steps are performed.

[0049] It should be understood that the terms used in the present specification are only for the purpose of describing particular embodiments and are not intended to limit the present invention. As used in this specification and the appended claim...

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Abstract

The invention discloses a method and a device for identifying precipitation particles based on Kmeans clustering. The method includes: acquiring polarization variables of radar observation data, where the polarization variables include a horizontal reflectivity factor, a differential reflectivity factor, and a specific differential propagation phase shift. ; Reconstruct the ratio differential propagation phase shift according to the physical constraint relationship between the horizontal reflectivity factor and the differential reflectivity factor, and determine the reconstructed observation data according to the horizontal reflectivity factor, the differential reflectivity factor and the reconstructed ratio differential propagation phase shift Using a fuzzy classification algorithm to identify precipitation particles on the reconstructed observation data to obtain a first identification result; using a Kmeans clustering method to perform secondary classification on the first identification result to obtain a second identification result. The present invention improves the accuracy of precipitation particle identification by reconstructing the ratio differential propagation phase shift and using the Kmeans clustering method for secondary classification.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and device for identifying precipitation particles based on Kmeans clustering. Background technique [0002] The main task of dual-polarization weather radar is to perform quantitative precipitation estimation. The relationship between different precipitation particles and radar observation variables is different, such as horizontal reflectivity factor, differential reflectivity factor factor, differential phase shift and ratio differential propagation phase shift, etc. , identifying different precipitation particles can better perform quantitative precipitation estimation. At present, the mainstream precipitation particle recognition is based on fuzzy logic classification methods. These methods are mainly based on the classification of precipitation particles based on a single radar library, without considering surrounding radars. When the input radar observatio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S7/02G01S13/95G06K9/62
CPCG01S7/41G01S7/024G01S13/95G06F18/23213Y02A90/10
Inventor 陈生刘陈帅
Owner SUN YAT SEN UNIV
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