{"title":"Algorithms for EO sensor SNR enhancement and smoothing","authors":"D. L. Webb, L. Hung, D. Elliott","doi":"10.1109/ACSSC.1995.540648","DOIUrl":null,"url":null,"abstract":"Electro-optical (EO) sensor systems in surveillance and seeker applications demand the highest possible signal-to-noise ratio (SNR) and spatial resolution. This paper introduces algorithms that increase the SNR and spatial resolution for a 2D focal plane array that has a high frame rate and whose field-of-view moves around within a field-of-regard of the scene being viewed. Predicted performance and simulation results for a particular implementation of these algorithms indicate an RMS SNR gain factor of over 40 for relatively low computational cost.","PeriodicalId":171264,"journal":{"name":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.1995.540648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Electro-optical (EO) sensor systems in surveillance and seeker applications demand the highest possible signal-to-noise ratio (SNR) and spatial resolution. This paper introduces algorithms that increase the SNR and spatial resolution for a 2D focal plane array that has a high frame rate and whose field-of-view moves around within a field-of-regard of the scene being viewed. Predicted performance and simulation results for a particular implementation of these algorithms indicate an RMS SNR gain factor of over 40 for relatively low computational cost.