{"title":"STFT脊和RT在SAR运动目标检测中的应用","authors":"Qu Chang-wen, He You, S. Feng, Guan Xin","doi":"10.1109/ICMMT.2004.1411617","DOIUrl":null,"url":null,"abstract":"Synthetic aperture radar (SAR) is an active, all-weather capable system to provide the capability to map the ground with high resolution and is used in both civilian and military applications. Moving targets with respect to the stationary background cause smeared and ill-positioned images. Detection and imaging of moving targets in SAR signals are necessary. We propose the method that combined the ridges of the short-time Fourier transform (STFT) and Radon transform (RT) to detect moving targets. Processing steps of this method and simulated results are given in detail. Simulation results show this method can detect moving targets and estimate its parameters in noise case effectively.","PeriodicalId":393410,"journal":{"name":"ICMMT 4th International Conference on, Proceedings Microwave and Millimeter Wave Technology, 2004.","volume":"354 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Application of STFT ridges and RT to moving targets detection in SAR\",\"authors\":\"Qu Chang-wen, He You, S. Feng, Guan Xin\",\"doi\":\"10.1109/ICMMT.2004.1411617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Synthetic aperture radar (SAR) is an active, all-weather capable system to provide the capability to map the ground with high resolution and is used in both civilian and military applications. Moving targets with respect to the stationary background cause smeared and ill-positioned images. Detection and imaging of moving targets in SAR signals are necessary. We propose the method that combined the ridges of the short-time Fourier transform (STFT) and Radon transform (RT) to detect moving targets. Processing steps of this method and simulated results are given in detail. Simulation results show this method can detect moving targets and estimate its parameters in noise case effectively.\",\"PeriodicalId\":393410,\"journal\":{\"name\":\"ICMMT 4th International Conference on, Proceedings Microwave and Millimeter Wave Technology, 2004.\",\"volume\":\"354 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICMMT 4th International Conference on, Proceedings Microwave and Millimeter Wave Technology, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMMT.2004.1411617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICMMT 4th International Conference on, Proceedings Microwave and Millimeter Wave Technology, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMMT.2004.1411617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of STFT ridges and RT to moving targets detection in SAR
Synthetic aperture radar (SAR) is an active, all-weather capable system to provide the capability to map the ground with high resolution and is used in both civilian and military applications. Moving targets with respect to the stationary background cause smeared and ill-positioned images. Detection and imaging of moving targets in SAR signals are necessary. We propose the method that combined the ridges of the short-time Fourier transform (STFT) and Radon transform (RT) to detect moving targets. Processing steps of this method and simulated results are given in detail. Simulation results show this method can detect moving targets and estimate its parameters in noise case effectively.