{"title":"空间天气研究:图像和数据融合的主要应用","authors":"A. Poland, G. Withbroe, John C. Evans","doi":"10.1109/AIPR.2003.1284239","DOIUrl":null,"url":null,"abstract":"Space weather research involves the study of the Sun and Earth from a systems viewpoint to improve the understanding and prediction of solar-terrestrial variability. There are a wide variety of solar-terrestrial imagery, spectroscopic measurements, and in situ space environmental data that can be exploited to improve our knowledge and understanding of the phenomena and processes involved in space weather.","PeriodicalId":176987,"journal":{"name":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Space weather research: a major application of imagery and data fusion\",\"authors\":\"A. Poland, G. Withbroe, John C. Evans\",\"doi\":\"10.1109/AIPR.2003.1284239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Space weather research involves the study of the Sun and Earth from a systems viewpoint to improve the understanding and prediction of solar-terrestrial variability. There are a wide variety of solar-terrestrial imagery, spectroscopic measurements, and in situ space environmental data that can be exploited to improve our knowledge and understanding of the phenomena and processes involved in space weather.\",\"PeriodicalId\":176987,\"journal\":{\"name\":\"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2003.1284239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2003.1284239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Space weather research: a major application of imagery and data fusion
Space weather research involves the study of the Sun and Earth from a systems viewpoint to improve the understanding and prediction of solar-terrestrial variability. There are a wide variety of solar-terrestrial imagery, spectroscopic measurements, and in situ space environmental data that can be exploited to improve our knowledge and understanding of the phenomena and processes involved in space weather.