{"title":"Optimal block quantization for SAR data","authors":"P. Guccione, C. Cafforio, A. M. Guarnieri","doi":"10.1109/RADAR.2010.5494597","DOIUrl":null,"url":null,"abstract":"A variable bit rate coding scheme designed for new generation SAR satellites is presented. This coding is based on previous schemes of Block Adaptive Quantizer (BAQ) [1] and is intended as a possible improvement over Sentinel-1 FDBAQ [3,4]. In this project, the number of quantizers is considered a design choice and the optimization is carried out looking for a set of reflectivity classes in which partition all the imaged areas on the Earth. Superior performances to those envisaged for Sentinel-1 FDBAQ are obtained in terms of SNR vs. average rate. Results come from simulations based on a 16-bit mosaic of C band reflectivity obtained by ESRIN from ENVISAT GM data [6] and Wien University database of ENVISAT WSM radar reflectivity [10].","PeriodicalId":125591,"journal":{"name":"2010 IEEE Radar Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2010.5494597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A variable bit rate coding scheme designed for new generation SAR satellites is presented. This coding is based on previous schemes of Block Adaptive Quantizer (BAQ) [1] and is intended as a possible improvement over Sentinel-1 FDBAQ [3,4]. In this project, the number of quantizers is considered a design choice and the optimization is carried out looking for a set of reflectivity classes in which partition all the imaged areas on the Earth. Superior performances to those envisaged for Sentinel-1 FDBAQ are obtained in terms of SNR vs. average rate. Results come from simulations based on a 16-bit mosaic of C band reflectivity obtained by ESRIN from ENVISAT GM data [6] and Wien University database of ENVISAT WSM radar reflectivity [10].