{"title":"Multibaseline phase unwrapping through robust Chinese remainder theorem","authors":"Zhibiao Jiang, Jian Wang, Qian Song, Zhimin Zhou","doi":"10.1109/MAPE.2017.8250897","DOIUrl":null,"url":null,"abstract":"Multibaseline phase unwrapping (PU) is a critical processing procedure of multibaseline synthetic aperture radar interferometry (InSAR). The presence of phase noise makes Chinese remainder theorem (CRT) method not robust enough and inapplicable in practical cases. In this letter, a method based on a robust Chinese remainder theorem (RCRT) is presented to improve the noise robustness of the multibaseline PU. Experimental results prove the effectiveness of RCRT method and demonstrate that the RCRT method is more robust to noise than the CRT method.","PeriodicalId":320947,"journal":{"name":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th IEEE International Symposium on Microwave, Antenna, Propagation, and EMC Technologies (MAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MAPE.2017.8250897","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
Multibaseline phase unwrapping (PU) is a critical processing procedure of multibaseline synthetic aperture radar interferometry (InSAR). The presence of phase noise makes Chinese remainder theorem (CRT) method not robust enough and inapplicable in practical cases. In this letter, a method based on a robust Chinese remainder theorem (RCRT) is presented to improve the noise robustness of the multibaseline PU. Experimental results prove the effectiveness of RCRT method and demonstrate that the RCRT method is more robust to noise than the CRT method.