{"title":"在存在时间畸变的情况下成像","authors":"B. Landesman, David F. Olson","doi":"10.1364/srs.1995.rtud4","DOIUrl":null,"url":null,"abstract":"The imaging of a moving target by a typical CCD or CID camera with a finite integration time and finite-sized detectors presents a challenging problem in modeling and analysis. This problem is further complicated if the target is illuminated with a pulsed laser with a nonuniform temporal profile. However, a robust model of the imaging process can prove invaluable in the definition of system requirements, performance predictions, and in the development of post-detection correction algorithms.","PeriodicalId":184407,"journal":{"name":"Signal Recovery and Synthesis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Imaging in the presence of temporal distortions\",\"authors\":\"B. Landesman, David F. Olson\",\"doi\":\"10.1364/srs.1995.rtud4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The imaging of a moving target by a typical CCD or CID camera with a finite integration time and finite-sized detectors presents a challenging problem in modeling and analysis. This problem is further complicated if the target is illuminated with a pulsed laser with a nonuniform temporal profile. However, a robust model of the imaging process can prove invaluable in the definition of system requirements, performance predictions, and in the development of post-detection correction algorithms.\",\"PeriodicalId\":184407,\"journal\":{\"name\":\"Signal Recovery and Synthesis\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Recovery and Synthesis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/srs.1995.rtud4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Recovery and Synthesis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/srs.1995.rtud4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The imaging of a moving target by a typical CCD or CID camera with a finite integration time and finite-sized detectors presents a challenging problem in modeling and analysis. This problem is further complicated if the target is illuminated with a pulsed laser with a nonuniform temporal profile. However, a robust model of the imaging process can prove invaluable in the definition of system requirements, performance predictions, and in the development of post-detection correction algorithms.