{"title":"一种提高累积场质量的技术","authors":"V. Lakshmanan, Madison Miller, Travis M. Smith","doi":"10.1109/CIDU.2012.6382188","DOIUrl":null,"url":null,"abstract":"The accumulation of gridded fields over long time intervals can greatly magnify the impact of any noise in the individual grids. This paper describes a quality control method for reducing this noise in accumulation grids by taking advantage of both spatial and temporal coherence. In order to quantify the improvements in the accumulated grids and explain the effects of various parameters, the method is applied to simulated data. The quality control technique is then applied to a few illustrative real-world datasets.","PeriodicalId":270712,"journal":{"name":"2012 Conference on Intelligent Data Understanding","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A technique to improve the quality of accumulated fields\",\"authors\":\"V. Lakshmanan, Madison Miller, Travis M. Smith\",\"doi\":\"10.1109/CIDU.2012.6382188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The accumulation of gridded fields over long time intervals can greatly magnify the impact of any noise in the individual grids. This paper describes a quality control method for reducing this noise in accumulation grids by taking advantage of both spatial and temporal coherence. In order to quantify the improvements in the accumulated grids and explain the effects of various parameters, the method is applied to simulated data. The quality control technique is then applied to a few illustrative real-world datasets.\",\"PeriodicalId\":270712,\"journal\":{\"name\":\"2012 Conference on Intelligent Data Understanding\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Conference on Intelligent Data Understanding\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIDU.2012.6382188\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Conference on Intelligent Data Understanding","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIDU.2012.6382188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A technique to improve the quality of accumulated fields
The accumulation of gridded fields over long time intervals can greatly magnify the impact of any noise in the individual grids. This paper describes a quality control method for reducing this noise in accumulation grids by taking advantage of both spatial and temporal coherence. In order to quantify the improvements in the accumulated grids and explain the effects of various parameters, the method is applied to simulated data. The quality control technique is then applied to a few illustrative real-world datasets.
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