{"title":"基于方差分析的运动目标时空自适应检测器","authors":"J. Cheung, G.J. Genello, M. Wicks","doi":"10.1109/NRC.1998.678018","DOIUrl":null,"url":null,"abstract":"We present a new methodology for detecting moving objects based on the analysis of variance. This new detector is a generalization of feature based and optical-flow based techniques. Our algorithm is effective in enhancing the detection of range-spread/Doppler-spread targets and in suppressing background interference, with application to synthetic aperture radar and high resolution millimeter wave imaging sensors, in addition to optical and infrared cameras. The statistics necessary for implementation are estimated under both the null hypothesis and its alternative. The performance is demonstrated via analysis of measured data.","PeriodicalId":432418,"journal":{"name":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","volume":"6414 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A space-time adaptive detector for moving targets based on the analysis of variance\",\"authors\":\"J. Cheung, G.J. Genello, M. Wicks\",\"doi\":\"10.1109/NRC.1998.678018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present a new methodology for detecting moving objects based on the analysis of variance. This new detector is a generalization of feature based and optical-flow based techniques. Our algorithm is effective in enhancing the detection of range-spread/Doppler-spread targets and in suppressing background interference, with application to synthetic aperture radar and high resolution millimeter wave imaging sensors, in addition to optical and infrared cameras. The statistics necessary for implementation are estimated under both the null hypothesis and its alternative. The performance is demonstrated via analysis of measured data.\",\"PeriodicalId\":432418,\"journal\":{\"name\":\"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)\",\"volume\":\"6414 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.1998.678018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1998 IEEE Radar Conference, RADARCON'98. Challenges in Radar Systems and Solutions (Cat. No.98CH36197)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.1998.678018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A space-time adaptive detector for moving targets based on the analysis of variance
We present a new methodology for detecting moving objects based on the analysis of variance. This new detector is a generalization of feature based and optical-flow based techniques. Our algorithm is effective in enhancing the detection of range-spread/Doppler-spread targets and in suppressing background interference, with application to synthetic aperture radar and high resolution millimeter wave imaging sensors, in addition to optical and infrared cameras. The statistics necessary for implementation are estimated under both the null hypothesis and its alternative. The performance is demonstrated via analysis of measured data.
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