科技创新与应用2024，Vol.14Issue(7)：115-118,4.DOI:10.19981/j.CN23-1581/G3.2024.07.026
基于Logistic回归模型的风云二号(G星)降雹识别技术研究
摘要
Abstract
Taking the seven satellite retrieval products of Fengyun 2(G satellite)(cloud top temperature,cloud top height,liquid-water path,supercooled layer thickness,optical thickness,effective particle radius and blackbody brightness temperature)as the input parameters of the model,the Logistic regression hail recognition model was established to carry out the research on hail identification technology in Guizhou.A total of 136 sets of Fengyun 2(G satellite)satellite retrieval product data were collected from 11 hail days from March to May 2020,including 68 hail points and 68 non-hail points.The inversion products within 15 minutes before and after the hail time of each hail point are taken as the data of this point.At the same time,the corresponding non-hail points are selected as the comparison.The established hail data set is divided into training set and test set.Among them,the training set is 116 groups of data randomly selected for the training model(including 58 groups of hail point data and non-hail point data respectively),and the model test set is the remaining 20 groups of data(including 10 groups of hail point data and non-hail point data respectively).The training set is used to establish the Logistic regression hail recognition model,and the test set is used to verify the recognition effect of the model.The results show that the recognition accuracy of Logistic regression hail recognition model is 85%,in which the recognition accuracy of 10 hail points in the test set is 90%,the missing report rate is 10%,the recognition accuracy rate of 10 unfallen hail points is 80%,and the false alarm rate is 20%.关键词
Logistic回归/分类/冰雹/识别/检验Key words
Logistic regression/classification/hail/identification/test分类
天文与地球科学引用本文复制引用
彭宇翔,刘涛,文继芬,李皓,唐辟如,李怀志..基于Logistic回归模型的风云二号(G星)降雹识别技术研究[J].科技创新与应用,2024,14(7):115-118,4.基金项目
贵州省科技计划项目(课题)(黔科合基础-ZK[2021]一般 217) （课题）
贵州省气象局科研业务项目(黔气科登[2021]08-03 号) （黔气科登[2021]08-03 号）
中国气象局人工影响天气中心业务项目 （）
