{"title":"A cooperative framework for geological interpretation of remote sensing image","authors":"Minying Mo, Xuedong Wen, Yuan Tian, Yong Gao","doi":"10.1109/Geoinformatics.2013.6626031","DOIUrl":null,"url":null,"abstract":"This paper presents a framework for human-computer interaction (HCI)-based geological interpretation of remote sensing images in circumstance of cooperative work. Since image interpretation application tasks often turn out to be a heavy workload, timely, tight, and quality demanding, it is too overwhelming for the conventional work mode which typically involves single interpreter and isolated computers. The computer-supported cooperative interpretation framework, with synchronized operation mode for multi-user in different locations, is brought up to overcome the handling capacity and efficiency problem. The design plan focuses on building a feasible client/server framework for computer-supported cooperative work in LAN environment. This framework adopts centralized data management tactic for data storage, Transmission Control Protocol (TCP) for reliable transmission mechanism, and XML-based representation method for document sharing and matching.","PeriodicalId":286908,"journal":{"name":"2013 21st International Conference on Geoinformatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 21st International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Geoinformatics.2013.6626031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a framework for human-computer interaction (HCI)-based geological interpretation of remote sensing images in circumstance of cooperative work. Since image interpretation application tasks often turn out to be a heavy workload, timely, tight, and quality demanding, it is too overwhelming for the conventional work mode which typically involves single interpreter and isolated computers. The computer-supported cooperative interpretation framework, with synchronized operation mode for multi-user in different locations, is brought up to overcome the handling capacity and efficiency problem. The design plan focuses on building a feasible client/server framework for computer-supported cooperative work in LAN environment. This framework adopts centralized data management tactic for data storage, Transmission Control Protocol (TCP) for reliable transmission mechanism, and XML-based representation method for document sharing and matching.