{"title":"Parametric SAR image formation — A promising approach to resolution-unlimited imaging","authors":"Yesheng Gao, Kaizhi Wang, Xingzhao Liu","doi":"10.5281/ZENODO.43012","DOIUrl":null,"url":null,"abstract":"A parametric SAR image formation scheme is proposed in this paper. Based on a model describing the received signal, the parameters of the model can be used to characterize the illuminated scene. A realization of parameter estimation via atomic decomposition is presented. The estimated parameters are then mapped onto the iso-range-Doppler grid to form a SAR image. Simulation results demonstrate that this scheme can provide an approach to resolution-unlimited imaging.","PeriodicalId":201182,"journal":{"name":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.43012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A parametric SAR image formation scheme is proposed in this paper. Based on a model describing the received signal, the parameters of the model can be used to characterize the illuminated scene. A realization of parameter estimation via atomic decomposition is presented. The estimated parameters are then mapped onto the iso-range-Doppler grid to form a SAR image. Simulation results demonstrate that this scheme can provide an approach to resolution-unlimited imaging.