Method for filtering super-refraction of meteorology

Abstract

The invention discloses a method for filtering super-refraction of meteorology, which includes: filtering pixel points, smaller than 35dBz, in images of 0.5 degree elevation angle reflectivity of Doppler meteorological radars so as to acquire first filtering image; filtering connected domains with area smaller than 50 units so as to acquire second filtering image; utilizing circular structure elements with radius equal to one to perform morphological opening operation and then filtering connected domains with area smaller than 50 units so as to acquire third filtering image; obtaining characteristics of inertia moment of each connected domain in the third filtering image through a gray level co-occurrence matrix; filtering connected domains with area smaller than 100 and inertia moment larger than 1.9 and connected domains with area larger than 100 and inertia moment larger than 1.5 so as to acquire fourth filtering image; filtering pixel points of radial velocity V E[-1,1] to acquirefifth filtering image; and utilizing circular structure elements with radius equal to one to perform morphological opening operation. By the method, super-refraction is filtered while effective precipitation cloud cluster is reserved, and the miss-recognition rate and the false rate to super-refraction are lower.

Description

technical field [0001] The invention relates to the field of meteorology, in particular to a method for filtering out super-refraction in meteorology. Background technique [0002] Doppler weather radar uses the backscattering of electromagnetic waves by cloud and rain targets to find meteorological targets, and determines the spatial position and strength distribution of meteorological targets. However, Doppler weather radars can also detect non-meteorological targets. These non-meteorological targets The target echo will pollute the Doppler weather radar data, causing large deviations in the estimation of the three basic physical parameters of the weather radar, average power, average Doppler velocity and spectral width, so non-meteorological target echo suppression becomes radar data Important issue for quality control. [0003] The echoes of non-meteorological targets include the echoes of ground objects detected in the case of normal propagation (NP) of the radar beam ...

AI Technical Summary

Problems solved by technology

[0006] The inter-class aliasing of the six parameters selected in the prior art is relatively serious. Although the membership function and the combination judgment of multiple parameters are used, the effective precipitation cloud is filtered out too much while the super-refraction is not filtered out; at the same time This method specifically requires that the amount of the two types of samples be sufficient and representative. When these are not met, the 4% miss rate is optimistic, and the 4% misjudgment rate is still high.

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