Pengfei Li;Zhiwei Li;Mi Jiang;Lei Guo;Minzheng Mu;Xin He;Jiachen Li;Yan Zhu;Yukun Yang
{"title":"A New Phase Unwrapping Method for Disconnected Regions Inspired by Continental Drift Theory","authors":"Pengfei Li;Zhiwei Li;Mi Jiang;Lei Guo;Minzheng Mu;Xin He;Jiachen Li;Yan Zhu;Yukun Yang","doi":"10.1109/JSTARS.2025.3581025","DOIUrl":null,"url":null,"abstract":"Phase unwrapping (PU) is a crucial step in interferometric synthetic aperture radar, as it directly influences the accuracy of surface deformation monitoring and topographic mapping. However, PU in disconnected regions due to surrounding low-coherence pixels and irregular terrain like islands remains challenging. To address this issue, we propose an advanced PU method that enhances network construction for disconnected regions by leveraging continental drift concept and visual contour features. The method adaptively connects disconnected regions and reconstructs a spatial network, significantly increasing the number of network connections between these regions compared to the original network. Consequently, our method can optimize the unwrapping paths, enhance antinoise performance, and improve PU accuracy. The effectiveness of the proposed method is validated through both simulated and real datasets. The results demonstrate that our proposed method outperforms the classical minimum cost flow method, achieving a 37.29% reduction in phase standard deviation, and improving the accuracy of subsequent parameter estimation.","PeriodicalId":13116,"journal":{"name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","volume":"18 ","pages":"15616-15628"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11045082","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11045082/","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Phase unwrapping (PU) is a crucial step in interferometric synthetic aperture radar, as it directly influences the accuracy of surface deformation monitoring and topographic mapping. However, PU in disconnected regions due to surrounding low-coherence pixels and irregular terrain like islands remains challenging. To address this issue, we propose an advanced PU method that enhances network construction for disconnected regions by leveraging continental drift concept and visual contour features. The method adaptively connects disconnected regions and reconstructs a spatial network, significantly increasing the number of network connections between these regions compared to the original network. Consequently, our method can optimize the unwrapping paths, enhance antinoise performance, and improve PU accuracy. The effectiveness of the proposed method is validated through both simulated and real datasets. The results demonstrate that our proposed method outperforms the classical minimum cost flow method, achieving a 37.29% reduction in phase standard deviation, and improving the accuracy of subsequent parameter estimation.
期刊介绍:
The IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing addresses the growing field of applications in Earth observations and remote sensing, and also provides a venue for the rapidly expanding special issues that are being sponsored by the IEEE Geosciences and Remote Sensing Society. The journal draws upon the experience of the highly successful “IEEE Transactions on Geoscience and Remote Sensing” and provide a complementary medium for the wide range of topics in applied earth observations. The ‘Applications’ areas encompasses the societal benefit areas of the Global Earth Observations Systems of Systems (GEOSS) program. Through deliberations over two years, ministers from 50 countries agreed to identify nine areas where Earth observation could positively impact the quality of life and health of their respective countries. Some of these are areas not traditionally addressed in the IEEE context. These include biodiversity, health and climate. Yet it is the skill sets of IEEE members, in areas such as observations, communications, computers, signal processing, standards and ocean engineering, that form the technical underpinnings of GEOSS. Thus, the Journal attracts a broad range of interests that serves both present members in new ways and expands the IEEE visibility into new areas.