{"title":"Automatic target recognition based on incoherent radar returns","authors":"Fu Qiang, Yu Wenxian","doi":"10.1109/NAECON.1995.521924","DOIUrl":null,"url":null,"abstract":"The problem of reliable automatic target recognition (ATR) from incoherent radar returns is discussed. In the problems under consideration, feature extraction methods are divided into two basic types: (1) Feature extraction directly based on time-domain description; (2) Feature extraction based on multiple transformation technique. In this paper, we shall demonstrate the problem of feature extraction by considering two examples of ship target recognition. The main algorithms and the recognition processing are discussed in detail. The experimental results show that a high reliability of recognition can be achieved.","PeriodicalId":171918,"journal":{"name":"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE 1995 National Aerospace and Electronics Conference. NAECON 1995","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.1995.521924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The problem of reliable automatic target recognition (ATR) from incoherent radar returns is discussed. In the problems under consideration, feature extraction methods are divided into two basic types: (1) Feature extraction directly based on time-domain description; (2) Feature extraction based on multiple transformation technique. In this paper, we shall demonstrate the problem of feature extraction by considering two examples of ship target recognition. The main algorithms and the recognition processing are discussed in detail. The experimental results show that a high reliability of recognition can be achieved.