Patricia Morreale, Guillermo Valle, J. Callegari, F. Kendall
{"title":"环境模式视觉识别的传感器集成与分析","authors":"Patricia Morreale, Guillermo Valle, J. Callegari, F. Kendall","doi":"10.1109/SYSCON.2011.5929047","DOIUrl":null,"url":null,"abstract":"Sensor data integration is crucial for the analysis and identification of environmental patterns. In this research project, publicly available datasets of environmental sensor data are integrated with Google Earth. Information on environmental patterns is identified, analyzed, and presented on the Web in response to user queries. This prototype demonstrates how sensor data can be integrated with Google Earth to enable the geographic and temporal context display of environmental data, with an interactive format, for users to analyze and identify environmental patterns in real-time.","PeriodicalId":109868,"journal":{"name":"2011 IEEE International Systems Conference","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sensor integration and analysis for visual identification of environmental patterns\",\"authors\":\"Patricia Morreale, Guillermo Valle, J. Callegari, F. Kendall\",\"doi\":\"10.1109/SYSCON.2011.5929047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensor data integration is crucial for the analysis and identification of environmental patterns. In this research project, publicly available datasets of environmental sensor data are integrated with Google Earth. Information on environmental patterns is identified, analyzed, and presented on the Web in response to user queries. This prototype demonstrates how sensor data can be integrated with Google Earth to enable the geographic and temporal context display of environmental data, with an interactive format, for users to analyze and identify environmental patterns in real-time.\",\"PeriodicalId\":109868,\"journal\":{\"name\":\"2011 IEEE International Systems Conference\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYSCON.2011.5929047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSCON.2011.5929047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor integration and analysis for visual identification of environmental patterns
Sensor data integration is crucial for the analysis and identification of environmental patterns. In this research project, publicly available datasets of environmental sensor data are integrated with Google Earth. Information on environmental patterns is identified, analyzed, and presented on the Web in response to user queries. This prototype demonstrates how sensor data can be integrated with Google Earth to enable the geographic and temporal context display of environmental data, with an interactive format, for users to analyze and identify environmental patterns in real-time.