Under Construction Reclamation Airport Deformation Monitoring Using Sequential Multi-Polarization Time-Series InSAR.

Saved in:
Bibliographic Details
Title: Under Construction Reclamation Airport Deformation Monitoring Using Sequential Multi-Polarization Time-Series InSAR.
Authors: Wang, Xiaying1 (AUTHOR), Lu, Yuexin1,2 (AUTHOR), Zhao, Dongping2,3 (AUTHOR) zhaodp@westaport.com, Zhang, Shuangcheng3,4 (AUTHOR), Xu, Yantian1,4 (AUTHOR), Gu, Shouzhou2,4 (AUTHOR), Fu, Jiaxing1,3 (AUTHOR), Wei, Ruiyi1,4 (AUTHOR)
Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1304. 20p.
Subjects: Radar interferometry, Airports, Construction industry safety, Time series analysis, Displacement (Mechanics)
Abstract: Highlights: What are the main findings? VV and VH polarizations exhibit significant spatial complementarity, jointly forming a more complete deformation field. The SETP-EMI method dynamically integrates dual-polarization information, effectively enhancing deformation monitoring capability in low-coherence regions. What are the implications of the main findings? Integrating multi-polarization information is an effective technical approach to address deformation monitoring challenges in dynamic environments like under-construction reclamation airports. The SETP-EMI method provides a novel solution for high-quality InSAR deformation monitoring in long-time series and rapidly changing scenarios. Monitoring surface deformation at reclaimed airports under construction is crucial for ensuring construction safety. However, significant variations in surface scattering characteristics cause severe decorrelation, limiting the effectiveness of conventional single-polarization Interferometric Synthetic Aperture Radar (InSAR). To address the issue of insufficient coherent pixels, we propose a dual-polarization sequential InSAR technique and compare its performance with traditional Persistent Scatterer Interferometry (PSI) and Distributed Scatterer Interferometry (DSI) at the Dalian Jinzhou Bay International Airport (DJBIA). Using 89 Sentinel-1A dual-polarization (VV-VH) images (August 2022 to October 2025), the results demonstrate that VV and VH polarizations exhibit significant spatial complementarity, highlighting the necessity of multi-polarization data. Further, to address the issue of long-term changes in scattering characteristics, we applied the Sequential Estimation and Total Power-Enhanced Expectation Maximization Inversion (SETP-EMI) method, which dynamically integrates dual-polarization information and performs adaptive phase optimization. This approach significantly enhances monitoring capability in low-coherence areas of the airport under construction, effectively suppressing phase noise, improving interferogram quality, and yielding a more complete and reliable deformation field. Overall, this study systematically validates the SETP-EMI method with dual-polarization information for deformation monitoring at reclaimed airports under construction, providing technical support for engineering safety control and research on reclamation subsidence mechanisms. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 193715335
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Under Construction Reclamation Airport Deformation Monitoring Using Sequential Multi-Polarization Time-Series InSAR.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Xiaying%22">Wang, Xiaying</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Yuexin%22">Lu, Yuexin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Dongping%22">Zhao, Dongping</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> zhaodp@westaport.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Shuangcheng%22">Zhang, Shuangcheng</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Yantian%22">Xu, Yantian</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gu%2C+Shouzhou%22">Gu, Shouzhou</searchLink><relatesTo>2,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fu%2C+Jiaxing%22">Fu, Jiaxing</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Ruiyi%22">Wei, Ruiyi</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1304. 20p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Radar+interferometry%22">Radar interferometry</searchLink><br /><searchLink fieldCode="DE" term="%22Airports%22">Airports</searchLink><br /><searchLink fieldCode="DE" term="%22Construction+industry+safety%22">Construction industry safety</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Displacement+%28Mechanics%29%22">Displacement (Mechanics)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? VV and VH polarizations exhibit significant spatial complementarity, jointly forming a more complete deformation field. The SETP-EMI method dynamically integrates dual-polarization information, effectively enhancing deformation monitoring capability in low-coherence regions. What are the implications of the main findings? Integrating multi-polarization information is an effective technical approach to address deformation monitoring challenges in dynamic environments like under-construction reclamation airports. The SETP-EMI method provides a novel solution for high-quality InSAR deformation monitoring in long-time series and rapidly changing scenarios. Monitoring surface deformation at reclaimed airports under construction is crucial for ensuring construction safety. However, significant variations in surface scattering characteristics cause severe decorrelation, limiting the effectiveness of conventional single-polarization Interferometric Synthetic Aperture Radar (InSAR). To address the issue of insufficient coherent pixels, we propose a dual-polarization sequential InSAR technique and compare its performance with traditional Persistent Scatterer Interferometry (PSI) and Distributed Scatterer Interferometry (DSI) at the Dalian Jinzhou Bay International Airport (DJBIA). Using 89 Sentinel-1A dual-polarization (VV-VH) images (August 2022 to October 2025), the results demonstrate that VV and VH polarizations exhibit significant spatial complementarity, highlighting the necessity of multi-polarization data. Further, to address the issue of long-term changes in scattering characteristics, we applied the Sequential Estimation and Total Power-Enhanced Expectation Maximization Inversion (SETP-EMI) method, which dynamically integrates dual-polarization information and performs adaptive phase optimization. This approach significantly enhances monitoring capability in low-coherence areas of the airport under construction, effectively suppressing phase noise, improving interferogram quality, and yielding a more complete and reliable deformation field. Overall, this study systematically validates the SETP-EMI method with dual-polarization information for deformation monitoring at reclaimed airports under construction, providing technical support for engineering safety control and research on reclamation subsidence mechanisms. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193715335
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/rs18091304
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1304
    Subjects:
      – SubjectFull: Radar interferometry
        Type: general
      – SubjectFull: Airports
        Type: general
      – SubjectFull: Construction industry safety
        Type: general
      – SubjectFull: Time series analysis
        Type: general
      – SubjectFull: Displacement (Mechanics)
        Type: general
    Titles:
      – TitleFull: Under Construction Reclamation Airport Deformation Monitoring Using Sequential Multi-Polarization Time-Series InSAR.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Wang, Xiaying
      – PersonEntity:
          Name:
            NameFull: Lu, Yuexin
      – PersonEntity:
          Name:
            NameFull: Zhao, Dongping
      – PersonEntity:
          Name:
            NameFull: Zhang, Shuangcheng
      – PersonEntity:
          Name:
            NameFull: Xu, Yantian
      – PersonEntity:
          Name:
            NameFull: Gu, Shouzhou
      – PersonEntity:
          Name:
            NameFull: Fu, Jiaxing
      – PersonEntity:
          Name:
            NameFull: Wei, Ruiyi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20724292
          Numbering:
            – Type: volume
              Value: 18
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Remote Sensing
              Type: main
ResultId 1