{"title":"Multisensor fusion of target attributes and kinematics","authors":"C. Bowman, C. Morefield","doi":"10.1109/CDC.1980.271921","DOIUrl":null,"url":null,"abstract":"A general architecture is presented to solve the multisensor, multitarget recognition and tracking problem. Candidate maximum a posteriori objective functionals are presented for kinematic and attribute report correlation. The treatment of multispectral noncommensurate attributes via their target classification capability is derived.","PeriodicalId":332964,"journal":{"name":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1980-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1980.271921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
A general architecture is presented to solve the multisensor, multitarget recognition and tracking problem. Candidate maximum a posteriori objective functionals are presented for kinematic and attribute report correlation. The treatment of multispectral noncommensurate attributes via their target classification capability is derived.
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