{"title":"地面目标识别融合系统","authors":"Jae Woo Joo, Jeung Won Choi, D. Cho","doi":"10.1109/ICIF.2002.1020974","DOIUrl":null,"url":null,"abstract":"It's difficult to interpret much of the battlefield information collected by various and different types of sensors promptly and correctly. Therefore, multisensor data fusion has become increasingly important in order to integrate individual sensor data and obtain a picture of the battlefield. In this paper GTIFS (Ground Target Identification Fusion System), a near real-time demonstrator of a multisensory system, is designed and implemented. GTIFS correlates and fuses position/identity information from MTI, ELINT and SAR simulators. GTIFS has three positional fusion techniques such as NN (nearest neighbor) tracker, PDA (probabilistic data association) tracker and GNN (geographic NN) tracker and three identity fusion techniques such as Bayesian, Dempster-Shafer and weighted voting. This system also has performance evaluation capabilities. The evaluation result is satisfied.","PeriodicalId":399150,"journal":{"name":"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ground target identification fusion system\",\"authors\":\"Jae Woo Joo, Jeung Won Choi, D. Cho\",\"doi\":\"10.1109/ICIF.2002.1020974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It's difficult to interpret much of the battlefield information collected by various and different types of sensors promptly and correctly. Therefore, multisensor data fusion has become increasingly important in order to integrate individual sensor data and obtain a picture of the battlefield. In this paper GTIFS (Ground Target Identification Fusion System), a near real-time demonstrator of a multisensory system, is designed and implemented. GTIFS correlates and fuses position/identity information from MTI, ELINT and SAR simulators. GTIFS has three positional fusion techniques such as NN (nearest neighbor) tracker, PDA (probabilistic data association) tracker and GNN (geographic NN) tracker and three identity fusion techniques such as Bayesian, Dempster-Shafer and weighted voting. This system also has performance evaluation capabilities. The evaluation result is satisfied.\",\"PeriodicalId\":399150,\"journal\":{\"name\":\"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIF.2002.1020974\",\"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 the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2002.1020974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
It's difficult to interpret much of the battlefield information collected by various and different types of sensors promptly and correctly. Therefore, multisensor data fusion has become increasingly important in order to integrate individual sensor data and obtain a picture of the battlefield. In this paper GTIFS (Ground Target Identification Fusion System), a near real-time demonstrator of a multisensory system, is designed and implemented. GTIFS correlates and fuses position/identity information from MTI, ELINT and SAR simulators. GTIFS has three positional fusion techniques such as NN (nearest neighbor) tracker, PDA (probabilistic data association) tracker and GNN (geographic NN) tracker and three identity fusion techniques such as Bayesian, Dempster-Shafer and weighted voting. This system also has performance evaluation capabilities. The evaluation result is satisfied.