{"title":"用统计特征分析移动云的方向和速度","authors":"R. Melnyk, Yurii Havrylko, R. Kvit","doi":"10.1109/ELIT53502.2021.9501101","DOIUrl":null,"url":null,"abstract":"The article considers an approach of determination of clouds statistical features: direction and velocity of displacement. Satellite maps are being processed to get cloudiness segments of different intensity. Multilevel segmentation and a clustering algorithm are used to precise cloudiness distribution. Coordinates of cloudiness are being calculated. Their accuracy depends from a step of grid covering the image.","PeriodicalId":164798,"journal":{"name":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Moving Clouds Direction and Velocity by Statistical Features\",\"authors\":\"R. Melnyk, Yurii Havrylko, R. Kvit\",\"doi\":\"10.1109/ELIT53502.2021.9501101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article considers an approach of determination of clouds statistical features: direction and velocity of displacement. Satellite maps are being processed to get cloudiness segments of different intensity. Multilevel segmentation and a clustering algorithm are used to precise cloudiness distribution. Coordinates of cloudiness are being calculated. Their accuracy depends from a step of grid covering the image.\",\"PeriodicalId\":164798,\"journal\":{\"name\":\"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELIT53502.2021.9501101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 12th International Conference on Electronics and Information Technologies (ELIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELIT53502.2021.9501101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Moving Clouds Direction and Velocity by Statistical Features
The article considers an approach of determination of clouds statistical features: direction and velocity of displacement. Satellite maps are being processed to get cloudiness segments of different intensity. Multilevel segmentation and a clustering algorithm are used to precise cloudiness distribution. Coordinates of cloudiness are being calculated. Their accuracy depends from a step of grid covering the image.