基于最大类间方差法的降水粒子特征提取研究  

Research on feature extraction of precipitation particles based on maximum inter class variance method

作　　者：王新 丁振华 漆洋 朱君 Wang Xin;Ding Zhenhua;Qi Yang;Zhu Jun(Chongqing Meteorological Information and Technology Support Center,Chongqing 401147;Zhejiang Meteorological Agency Service Center,Hangzhou 310052;School of Geophysics,Chengdu University of Technology,Chengdu 610051)

机构地区：[1]重庆市气象信息与技术保障中心,重庆401147 [2]浙江省气象局机关服务中心,杭州310000 [3]成都理工大学地球物理学院,成都610051

出　　处：《气象水文海洋仪器》2024年第1期20-23,共4页Meteorological,Hydrological and Marine Instruments

基　　金：重庆市气象部门青年基金资助项目(QNJJ 202202)资助。

摘　　要：为了将光学雨量传感器更好地应用于野外测量,文章通过搭建光学雨量传感器硬件平台,利用采集器获取图像数据,再进行图像处理后计算出粒径和速度,实现通过V-D曲线关系图识别降水现象,为气象自动观测的发展提供动力。In order to better apply the optical rainfall sensor to field measurement,this paper builds the hardware platform of the optical rainfall sensor,uses the collector to obtain the image data,and then calculates the particle size and velocity after image processing,so as to realize the recognition of precipitation phenomenon through the V D curve diagram,and provide power for the development of automatic meteorological observation.

关 键 词：降水现象 CCD OTSU 特征提取 光学雨量传感器 

分 类 号：P412[天文地球—大气科学及气象学]