基于修正小波变换插值-TAN的雷达降水粒子分类

doi:10.12305/j.issn.1001-506X.2022.05.13

Abstract

Abstract:

For the hydrometeor classification problem of dual-polarization weather radar with low data resolution, a hydrometeor classification method based on modified wavelet transform interpolation tree augmented naive Bayesian (TAN) is proposed. Firstly, it is necessary to carry out modified wavelet transform interpolation when the resolution of the original radar polarization parameter data is relatively low, so as to obtain high resolution radar polarization parameter data. Then, based on the mutual information theory, the discrete high resolution polarization parameter data are used to train the TAN network structure and parameters, and the TAN network which can be used for hydrometeor classification is obtained. Finally, the high resolution radar polarization parameter data are brought into the final TAN network to realize the hydrometeor classification. The processing results of measured data show that the proposed method can achieve better classification results of hydrometeor for low resolution radar polarization parameter data.

Key words: dual-polarization meteorological radar, classification of hydrometeor, modified wavelet transform interpolation, tree augmented naive Bayesian (TAN)

CLC Number:

TN959.4

Hai LI, Jin BAI, Yan SUN, Jiawei REN. Radar hydrometeor classification based on modified wavelet transform interpolation-TAN[J]. Systems Engineering and Electronics, 2022, 44(5): 1527-1535.

Figures/Tables 10

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Radar hydrometeor classification based on modified wavelet transform interpolation-TAN

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