{"title":"基于图像融合的微电网极化成像仪分辨率增强","authors":"D. Lemaster","doi":"10.1109/AERO.2010.5446702","DOIUrl":null,"url":null,"abstract":"Microgrid polarization imaging systems inherently suffer from spatial aliasing in addition to the image degrading effects of camera blur and noise. In this paper, microgrid aliasing is reduced by a factor of two and noise is suppressed via a fast image fusion technique borrowed from the study of super resolution. Additionally, a new regularization cost function for microgrid super resolution estimators is proposed. Polarimetric image fusion results are demonstrated with laboratory data.1 2","PeriodicalId":378029,"journal":{"name":"2010 IEEE Aerospace Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Resolution enhancement by image fusion for microgrid polarization imagers\",\"authors\":\"D. Lemaster\",\"doi\":\"10.1109/AERO.2010.5446702\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microgrid polarization imaging systems inherently suffer from spatial aliasing in addition to the image degrading effects of camera blur and noise. In this paper, microgrid aliasing is reduced by a factor of two and noise is suppressed via a fast image fusion technique borrowed from the study of super resolution. Additionally, a new regularization cost function for microgrid super resolution estimators is proposed. Polarimetric image fusion results are demonstrated with laboratory data.1 2\",\"PeriodicalId\":378029,\"journal\":{\"name\":\"2010 IEEE Aerospace Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Aerospace Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AERO.2010.5446702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Aerospace Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AERO.2010.5446702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resolution enhancement by image fusion for microgrid polarization imagers
Microgrid polarization imaging systems inherently suffer from spatial aliasing in addition to the image degrading effects of camera blur and noise. In this paper, microgrid aliasing is reduced by a factor of two and noise is suppressed via a fast image fusion technique borrowed from the study of super resolution. Additionally, a new regularization cost function for microgrid super resolution estimators is proposed. Polarimetric image fusion results are demonstrated with laboratory data.1 2
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