{"title":"从噪声层析投影中对异常/目标进行统计检测","authors":"L. Fillatre, I. Nikiforov","doi":"10.1109/ISPA.2003.1296930","DOIUrl":null,"url":null,"abstract":"The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. We study an unknown two-dimensional scene composed of an environment, considered as a nuisance parameter set, with a possibly hidden anomaly/target. An optimal statistical invariant test is proposed to solve such a problem.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A statistical detection of an anomaly/target from noisy tomographic projections\",\"authors\":\"L. Fillatre, I. Nikiforov\",\"doi\":\"10.1109/ISPA.2003.1296930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. We study an unknown two-dimensional scene composed of an environment, considered as a nuisance parameter set, with a possibly hidden anomaly/target. An optimal statistical invariant test is proposed to solve such a problem.\",\"PeriodicalId\":218932,\"journal\":{\"name\":\"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2003.1296930\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2003.1296930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A statistical detection of an anomaly/target from noisy tomographic projections
The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. We study an unknown two-dimensional scene composed of an environment, considered as a nuisance parameter set, with a possibly hidden anomaly/target. An optimal statistical invariant test is proposed to solve such a problem.