{"title":"基于信息论的极化雷达数据识别水成物算法","authors":"I. Vasil’eva, A. Popov","doi":"10.1109/MSMW.2016.7538144","DOIUrl":null,"url":null,"abstract":"For recognition of meteorological objects a two-stage algorithm based on the information theory and on the statistical decision theory for a vector space of polarimetric signatures is developed. General description and the results of the algorithm testing performed on modeled radar signals backscattered by specific classes of hydrometeors as well as on the data received in full-scale experiments are given in the paper.","PeriodicalId":6504,"journal":{"name":"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)","volume":"26 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An algorithm for recognition of hydrometeors by polarimetric radar data based on the information theory\",\"authors\":\"I. Vasil’eva, A. Popov\",\"doi\":\"10.1109/MSMW.2016.7538144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For recognition of meteorological objects a two-stage algorithm based on the information theory and on the statistical decision theory for a vector space of polarimetric signatures is developed. General description and the results of the algorithm testing performed on modeled radar signals backscattered by specific classes of hydrometeors as well as on the data received in full-scale experiments are given in the paper.\",\"PeriodicalId\":6504,\"journal\":{\"name\":\"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)\",\"volume\":\"26 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSMW.2016.7538144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSMW.2016.7538144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm for recognition of hydrometeors by polarimetric radar data based on the information theory
For recognition of meteorological objects a two-stage algorithm based on the information theory and on the statistical decision theory for a vector space of polarimetric signatures is developed. General description and the results of the algorithm testing performed on modeled radar signals backscattered by specific classes of hydrometeors as well as on the data received in full-scale experiments are given in the paper.