I. Shubin, S. Solonska, Stanislav Snisar, V. Slavhorodskyi, Victoria Skovorodnikova
{"title":"Semantic Radar Technology for Detecting and Recognizing Low-Visible Air Objects","authors":"I. Shubin, S. Solonska, Stanislav Snisar, V. Slavhorodskyi, Victoria Skovorodnikova","doi":"10.1109/PICST47496.2019.9061389","DOIUrl":null,"url":null,"abstract":"The paper presents the information technology of low-visible air objects radar detection developed by formalizing the processes of perception and transformation of signals and signal images, taking into account the possibilities of unification of procedures for inter-period and multi-survey (multi-view) radar signals processing and information based on semantic analysis. It is also proposed to accumulate the energy and semantic component of the signal information by forming space-time images using the algebra of finite predicates.","PeriodicalId":6764,"journal":{"name":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","volume":"7 1","pages":"665-670"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PICST47496.2019.9061389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper presents the information technology of low-visible air objects radar detection developed by formalizing the processes of perception and transformation of signals and signal images, taking into account the possibilities of unification of procedures for inter-period and multi-survey (multi-view) radar signals processing and information based on semantic analysis. It is also proposed to accumulate the energy and semantic component of the signal information by forming space-time images using the algebra of finite predicates.