Atmospheric characteristic layer detection method and device

Abstract

An embodiment of the invention provides an atmospheric feature layer detection method and an atmospheric feature layer detection device, which relate to the technical field of detection. The atmospheric feature layer detection method comprises the steps of: acquiring a Mie-scattering polarization laser radar signal and meteorological data; calculating a scattering ratio and a linear depolarizationratio; detecting an atmospheric feature layer by using a threshold value method; classifying the detected atmospheric feature layer by adopting an empirical threshold value method; and performing iterative execution on the above steps, judging whether a difference between a redetected atmospheric feature layer and reclassification of the atmospheric feature layer and the atmospheric feature layerdetected last time and classification of the atmospheric feature layer is less than a set threshold value until a difference between a latest detected atmospheric feature layer and latest classification of the atmospheric feature layer and the atmospheric feature layer detected last time and classification of the atmospheric feature layer is less than the set threshold value, and then adopting acontinuous wavelet analysis method for correcting the latest classification of the atmospheric feature layer. By adopting the atmospheric feature layer detection method and the atmospheric feature layer detection device, the convenience, precision and completeness of atmospheric feature layer detection can be improved.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a method and device for detecting an atmospheric characteristic layer. Background technique [0002] The cloud and aerosol layers in the atmosphere are very important atmospheric feature layers. At present, the methods for detecting atmospheric characteristic layers based on atmospheric lidar are mainly divided into threshold method and continuous wavelet analysis method. The principle of the threshold method is to use the difference between the measured signal and the background atmospheric molecular signal to identify the characteristic layer of the atmosphere. The threshold method initially only uses a static threshold to detect cloud layers, including the differential cross method and the slope method. They all need to adjust the threshold carefully to avoid Interference from noise and aerosol layers; later developed to detect both cloud and aerosol layers simultaneously u...

AI Technical Summary

Problems solved by technology

In the signal profile, the weak signal at the edge of the atmospheric characteristic layer cannot be completely detected, and at the same time, the relatively complete atmospheric characteristic layer cannot be detected only by using the scattering ratio

Among the existing feature classification methods, the implementation of atmospheric feature layer detection by neural network method and probability method is relatively complicated.

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