{"title":"Notice of RetractionNear Range Millimeter Wave Radiometer Passive Image High Resolution Restoration","authors":"Wang Ben-qing, Li Xing-guo","doi":"10.1109/GSMM.2008.4534635","DOIUrl":null,"url":null,"abstract":"Since a millimeter wave (MMW) image is lower resolution and higher noise than optical, it appears particularly important to restore high resolution MMW image, on which many works have been done. However there is rare report on scanning image restoration technology under near range conditions. Change of antenna characteristics is main factor to affect image quality in near range, for example, the antenna pattern mainlobe emerges fluctuation and the gain is greatly reduced. In addition, scanning movement of servomechanism is another important factor to affect imaging quality. This paper firstly estimates point spread function (PSF) of scanning prototype to establish blurred model, and then takes estimated PSF as initial value into restoration algorithm that combines maximum likelihood (ML) estimation and blind deconvolution techniques, resumes restoration of hidden target MMW images. Simulations show that the combined restoration algorithm is better in effect and convergence.","PeriodicalId":304483,"journal":{"name":"2008 Global Symposium on Millimeter Waves","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Global Symposium on Millimeter Waves","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSMM.2008.4534635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Since a millimeter wave (MMW) image is lower resolution and higher noise than optical, it appears particularly important to restore high resolution MMW image, on which many works have been done. However there is rare report on scanning image restoration technology under near range conditions. Change of antenna characteristics is main factor to affect image quality in near range, for example, the antenna pattern mainlobe emerges fluctuation and the gain is greatly reduced. In addition, scanning movement of servomechanism is another important factor to affect imaging quality. This paper firstly estimates point spread function (PSF) of scanning prototype to establish blurred model, and then takes estimated PSF as initial value into restoration algorithm that combines maximum likelihood (ML) estimation and blind deconvolution techniques, resumes restoration of hidden target MMW images. Simulations show that the combined restoration algorithm is better in effect and convergence.