{"title":"用于非金属地雷探测的RASCAN型雷达图像分辨率增强","authors":"Andrés Quintero-Zea, Marisol Osorio-Cardenas","doi":"10.1109/STSIVA.2013.6644923","DOIUrl":null,"url":null,"abstract":"Category 3. This paper presents two resolution enhancement techniques applied to images of buried landmines acquired using a RASCAN radar, a holographic radar that is used mainly for sounding structural components of buildings, although it can be used to find buried objects too. The first technique is a phase-driven spatially variant regularization, and the second one is a wavelet-based image interpolation.","PeriodicalId":359994,"journal":{"name":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"RASCAN type radar image resolution enhancement for non-metallic landmine detection\",\"authors\":\"Andrés Quintero-Zea, Marisol Osorio-Cardenas\",\"doi\":\"10.1109/STSIVA.2013.6644923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Category 3. This paper presents two resolution enhancement techniques applied to images of buried landmines acquired using a RASCAN radar, a holographic radar that is used mainly for sounding structural components of buildings, although it can be used to find buried objects too. The first technique is a phase-driven spatially variant regularization, and the second one is a wavelet-based image interpolation.\",\"PeriodicalId\":359994,\"journal\":{\"name\":\"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STSIVA.2013.6644923\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium of Signals, Images and Artificial Vision - 2013: STSIVA - 2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STSIVA.2013.6644923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
RASCAN type radar image resolution enhancement for non-metallic landmine detection
Category 3. This paper presents two resolution enhancement techniques applied to images of buried landmines acquired using a RASCAN radar, a holographic radar that is used mainly for sounding structural components of buildings, although it can be used to find buried objects too. The first technique is a phase-driven spatially variant regularization, and the second one is a wavelet-based image interpolation.
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