气象雷达回波图中区域地物杂波检测算法  

Regional Ground Clutter Detection Algorithm in Meteorological Radar Echo Map

作　　者：季钰林 傅俊杰 刘家威 刘人铨 周孝宗 JI Yu-lin;FU Jun-jie;LIU Jia-wei;LIU Ren-quan;ZHOU Xiao-zong(Information Engineering School of Communication and Information Engineering,Chengdu University,Chengdu 610200,China)

机构地区：[1]成都信息工程大学通信与信息工程学院,四川成都610200

出　　处：《软件导刊》2022年第9期146-151,共6页Software Guide

基　　金：福建省大气探测技术保障中心雷达杂波滤除技术服务项目(2018H455)。

摘　　要：针对多普勒气象雷达回波图中的地物杂波只能通过肉眼识别且效率低下的问题,提出一种结合卷积神经网络模型与区域重叠灰度共生矩阵的算法,以实现对雷达回波图中特定杂波区域的高效识别。首先设计一个卷积神经网络模型,利用数据集对卷积神经网络进行训练,从而对雷达回波图的俯仰角进行识别;然后利用区域重叠灰度共生矩阵算法对低仰角的气象雷达回波图进行特征提取,检测出存在地物杂波的具体区域;最后得出地物杂波所在具体区域的坐标。经过大量实验,结果表明,该算法可对气象雷达回波图中的地物杂波进行有效识别。To solve the problem that the ground clutter in Doppler weather radar echo map can only be recognized by naked eye,an algorithm based on convolution neural network model and area overlap gray level symbiosis matrix is presented to identify the specific area where the clutter exists in the radar echo map. Firstly,a convolution neural network model is designed,and the convolution neural network is trained with the dataset to recognize the pitch angle of the radar echo map. Then,the area overlap gray level symbiosis matrix algorithm is used to extract the features of low elevation weather radar echo map,and detect the specific area of ground clutter. Finally,the coordinates of the specific area where there is ground clutter are obtained. Tests show that this design can effectively identify the clutter in the meteorological radar echo map.

关 键 词：气象雷达回波图 卷积神经网络模型 区域重叠灰度共生矩阵算法 地物杂波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]