{"title":"A pricise phase-preserving image formation algorithm for topsar data processing","authors":"Wei Yang, Dalu Liu","doi":"10.1109/APSAR.2015.7306241","DOIUrl":null,"url":null,"abstract":"This paper concentrates on the image formation algorithm for TOP (Terrain Observation by Progressive Scans) mode data processing, which ensures both the quality of focusing and the phase accuracy. Based on the three-step processing schedule, the de-rotation operation is adopted to conquer the overlap in azimuth frequency domain, and the antenna sweep rate is discussed in tail. Moreover, the classic focusing kernel is applied for range and azimuth compressing. Furthermore, phase and compression-gain compensation function is given, which is implemented after deramp operation. Finally, the simulation results justify the effectiveness and precision of the proposed phase-preserving algorithm.","PeriodicalId":350698,"journal":{"name":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSAR.2015.7306241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper concentrates on the image formation algorithm for TOP (Terrain Observation by Progressive Scans) mode data processing, which ensures both the quality of focusing and the phase accuracy. Based on the three-step processing schedule, the de-rotation operation is adopted to conquer the overlap in azimuth frequency domain, and the antenna sweep rate is discussed in tail. Moreover, the classic focusing kernel is applied for range and azimuth compressing. Furthermore, phase and compression-gain compensation function is given, which is implemented after deramp operation. Finally, the simulation results justify the effectiveness and precision of the proposed phase-preserving algorithm.