S. Vujic, B. Livada, D. Peric, Milos Radisavljevic, S. Vujic, B. Livada, D. Peric, Milos Radisavljevic, Vladimir Milićević
{"title":"Long Range Multisensor Imaging Systems : Procedure for selecting MSIS components based on simplified performance model","authors":"S. Vujic, B. Livada, D. Peric, Milos Radisavljevic, S. Vujic, B. Livada, D. Peric, Milos Radisavljevic, Vladimir Milićević","doi":"10.1109/INFOTEH57020.2023.10094188","DOIUrl":null,"url":null,"abstract":"System components requirements definition for any long range multisensor imaging systems is important and rather complex task. In order to define those requirements for a system with as high as possible values of detection, recognition and identification, there are lot of compromises that need to take place, and simplified model is of great help for that process. A common detection, recognition and identification ranges prediction is shown, following with an architecture of long range multisensor imaging systems. Imaging channels key performance parameters are presented and put into relation with expected performance. The use of this model can have an important role in system components requirements definition, and model can be further extended for other classes of multisensor imaging systems.","PeriodicalId":287923,"journal":{"name":"2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOTEH57020.2023.10094188","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
System components requirements definition for any long range multisensor imaging systems is important and rather complex task. In order to define those requirements for a system with as high as possible values of detection, recognition and identification, there are lot of compromises that need to take place, and simplified model is of great help for that process. A common detection, recognition and identification ranges prediction is shown, following with an architecture of long range multisensor imaging systems. Imaging channels key performance parameters are presented and put into relation with expected performance. The use of this model can have an important role in system components requirements definition, and model can be further extended for other classes of multisensor imaging systems.