{"title":"曲线SAR中三维目标特征提取的鲁棒自动聚焦算法","authors":"Zhigang Su, R. Wu, Jiaxue Liu, Jie Liu","doi":"10.1109/ICR.2001.984800","DOIUrl":null,"url":null,"abstract":"In this paper, a new autofocus approach is proposed to compensate for the aperture and phase errors in curvilinear synthetic aperture radar (referred to as CLSAR) and to extract the three-dimensional (3-D) target features. Numerical examples are provided to illustrate the performance of the proposed algorithm.","PeriodicalId":366998,"journal":{"name":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A robust autofocus algorithm for the 3-D target feature extraction in curvilinear SAR\",\"authors\":\"Zhigang Su, R. Wu, Jiaxue Liu, Jie Liu\",\"doi\":\"10.1109/ICR.2001.984800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new autofocus approach is proposed to compensate for the aperture and phase errors in curvilinear synthetic aperture radar (referred to as CLSAR) and to extract the three-dimensional (3-D) target features. Numerical examples are provided to illustrate the performance of the proposed algorithm.\",\"PeriodicalId\":366998,\"journal\":{\"name\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICR.2001.984800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.2001.984800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A robust autofocus algorithm for the 3-D target feature extraction in curvilinear SAR
In this paper, a new autofocus approach is proposed to compensate for the aperture and phase errors in curvilinear synthetic aperture radar (referred to as CLSAR) and to extract the three-dimensional (3-D) target features. Numerical examples are provided to illustrate the performance of the proposed algorithm.