{"title":"基于反演卫星遥感数据的海洋环境谱编制","authors":"T. Zhang, W. Zhao, Xiao-Hua Yang, Z. Cai","doi":"10.1109/ISI.2011.5984113","DOIUrl":null,"url":null,"abstract":"Through inversion of the satellite remote sensing data, the values of the environmental factors in the corresponding research area are obtained. By synthesizing the influence of marine environment on damage of the structure, equipment or system, the specific affecting factors in he research area have been determined, and the inversion result has been verified by the measured data. The problem in analyzing and processing large scale data has been solved by using the weight fuzzy clustering theory and the data trace technology, and the marine environment spectrum with more applicability has been established.","PeriodicalId":220165,"journal":{"name":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","volume":"301 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Compiling the marine environment spectrum based on inversion satellite remote sensing data\",\"authors\":\"T. Zhang, W. Zhao, Xiao-Hua Yang, Z. Cai\",\"doi\":\"10.1109/ISI.2011.5984113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Through inversion of the satellite remote sensing data, the values of the environmental factors in the corresponding research area are obtained. By synthesizing the influence of marine environment on damage of the structure, equipment or system, the specific affecting factors in he research area have been determined, and the inversion result has been verified by the measured data. The problem in analyzing and processing large scale data has been solved by using the weight fuzzy clustering theory and the data trace technology, and the marine environment spectrum with more applicability has been established.\",\"PeriodicalId\":220165,\"journal\":{\"name\":\"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics\",\"volume\":\"301 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2011.5984113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2011.5984113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compiling the marine environment spectrum based on inversion satellite remote sensing data
Through inversion of the satellite remote sensing data, the values of the environmental factors in the corresponding research area are obtained. By synthesizing the influence of marine environment on damage of the structure, equipment or system, the specific affecting factors in he research area have been determined, and the inversion result has been verified by the measured data. The problem in analyzing and processing large scale data has been solved by using the weight fuzzy clustering theory and the data trace technology, and the marine environment spectrum with more applicability has been established.