雷声数据库的建立与研究

Construction and research of thunder database

摘要:

针对气象观测领域的研究与应用需要，设计并建立了一种面向气象观测的雷声数据库，其中包含闷雷28个、霹雳33个和干扰声61个，共122个样本。首先对样本进行采集、制定命名规则并做标签，再针对此数据库使用支持向量机(SVM)与组稀疏最小二乘回归(GSLSR)进行基准实验并对样本进行评价。仿真实验结果表明，雷声数据库的建立为气象领域的研究提供了应用基础和前提。

Abstract:

Aiming at the research and application needs in the field of meteorological observation, a thunder database for meteorological observations is designed and constructed, including stunned thunder, sputum and interference sounds, with 28, 33 and 61 samples, respectively, a total of 122 samples. Firstly, samples are collected, naming rules are formulated and labeled, and then the samples of the database are evaluated by using Support Vector Machine(SVM) and Group Sparse Least Squares Regression(GSLSR) model as a benchmark. The experimental results show that the establishment of the thunder database provides an important application basis and premise for the research of the meteorological field.