V. Fedosov, R. R. Ibadov, S. R. Ibadov, V. Voronin
{"title":"Restoration of the Blind Zone of the Image of the Underlying Surface for Radar Systems with Doppler Beam Sharpening","authors":"V. Fedosov, R. R. Ibadov, S. R. Ibadov, V. Voronin","doi":"10.1109/RSEMW.2019.8792685","DOIUrl":null,"url":null,"abstract":"This article discusses the possibility of building a radar map in the mode of Doppler beam sharpening. Spatial autocorrelation is considered as an image preprocessing for subsequent analysis when restoring a part of the map in the direction course carrier of the radar. Present is method for restoring the blind zone of images of the underlying surface map based on the search for similar blocks and their combination using a neural network. The efficiency of this approach is shown on several examples for different areas with lost pixels.","PeriodicalId":158616,"journal":{"name":"2019 Radiation and Scattering of Electromagnetic Waves (RSEMW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Radiation and Scattering of Electromagnetic Waves (RSEMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSEMW.2019.8792685","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
This article discusses the possibility of building a radar map in the mode of Doppler beam sharpening. Spatial autocorrelation is considered as an image preprocessing for subsequent analysis when restoring a part of the map in the direction course carrier of the radar. Present is method for restoring the blind zone of images of the underlying surface map based on the search for similar blocks and their combination using a neural network. The efficiency of this approach is shown on several examples for different areas with lost pixels.