{"title":"主成分提取技术在风云一号卫星云图处理中的应用","authors":"Zhenhui Wang, Xiaofang Pei","doi":"10.1109/IASP.2009.5054569","DOIUrl":null,"url":null,"abstract":"Principal Component Extraction technique is employed to process cloud images from 10-channel radiometer onboard the Chinese FY-1 polar-orbiting meteorological satellites. The results suggest that the consensus technique can concentrate the prominent distribution features of the grey shades of the targets, including clouds, landform and oceans shown on the 10 channel images into a single image which can be then used as a background image in further synoptic system analysis and weather map overlapping.","PeriodicalId":143959,"journal":{"name":"2009 International Conference on Image Analysis and Signal Processing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Application of Principal Component Extraction technique in processing cloud images from Chinese FY-1 satellite\",\"authors\":\"Zhenhui Wang, Xiaofang Pei\",\"doi\":\"10.1109/IASP.2009.5054569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Principal Component Extraction technique is employed to process cloud images from 10-channel radiometer onboard the Chinese FY-1 polar-orbiting meteorological satellites. The results suggest that the consensus technique can concentrate the prominent distribution features of the grey shades of the targets, including clouds, landform and oceans shown on the 10 channel images into a single image which can be then used as a background image in further synoptic system analysis and weather map overlapping.\",\"PeriodicalId\":143959,\"journal\":{\"name\":\"2009 International Conference on Image Analysis and Signal Processing\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2009.5054569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2009.5054569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Principal Component Extraction technique in processing cloud images from Chinese FY-1 satellite
Principal Component Extraction technique is employed to process cloud images from 10-channel radiometer onboard the Chinese FY-1 polar-orbiting meteorological satellites. The results suggest that the consensus technique can concentrate the prominent distribution features of the grey shades of the targets, including clouds, landform and oceans shown on the 10 channel images into a single image which can be then used as a background image in further synoptic system analysis and weather map overlapping.
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