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Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets
Ground-based synthetic aperture radar interferometry (GB-InSAR) enables the continuous monitoring of areal deformation and can thus provide near-real-time control of the overall deformation state of dam surfaces. In the continuous small-scale deformation monitoring of a reservoir dam structure by GB...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014032/ https://www.ncbi.nlm.nih.gov/pubmed/31936713 http://dx.doi.org/10.3390/s20020396 |
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author | Wang, Peng Xing, Cheng Pan, Xiandong |
author_facet | Wang, Peng Xing, Cheng Pan, Xiandong |
author_sort | Wang, Peng |
collection | PubMed |
description | Ground-based synthetic aperture radar interferometry (GB-InSAR) enables the continuous monitoring of areal deformation and can thus provide near-real-time control of the overall deformation state of dam surfaces. In the continuous small-scale deformation monitoring of a reservoir dam structure by GB-InSAR, the ground-based synthetic aperture radar (GB-SAR) image acquisition may be interrupted by multiple interfering factors, such as severe changes in the meteorological conditions of the monitoring area and radar equipment failures. As a result, the observed phases before and after the interruption cannot be directly connected, and the original spatiotemporal datum for the deformation measurement is lost, making the follow-up monitoring results unreliable. In this study, a multi-threshold strategy was first adopted to select coherent point targets (CPTs) by using successive GB-SAR image sequences. Then, we developed differential GB-InSAR with image subsets based on the CPTs to solve the dam surface deformation before and after aberrant interruptions. Finally, a deformation monitoring experiment was performed on an actual large reservoir dam. The effectiveness and accuracy of the abovementioned method were verified by comparing the results with measurements by a reversed pendulum monitoring system. |
format | Online Article Text |
id | pubmed-7014032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70140322020-03-09 Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets Wang, Peng Xing, Cheng Pan, Xiandong Sensors (Basel) Article Ground-based synthetic aperture radar interferometry (GB-InSAR) enables the continuous monitoring of areal deformation and can thus provide near-real-time control of the overall deformation state of dam surfaces. In the continuous small-scale deformation monitoring of a reservoir dam structure by GB-InSAR, the ground-based synthetic aperture radar (GB-SAR) image acquisition may be interrupted by multiple interfering factors, such as severe changes in the meteorological conditions of the monitoring area and radar equipment failures. As a result, the observed phases before and after the interruption cannot be directly connected, and the original spatiotemporal datum for the deformation measurement is lost, making the follow-up monitoring results unreliable. In this study, a multi-threshold strategy was first adopted to select coherent point targets (CPTs) by using successive GB-SAR image sequences. Then, we developed differential GB-InSAR with image subsets based on the CPTs to solve the dam surface deformation before and after aberrant interruptions. Finally, a deformation monitoring experiment was performed on an actual large reservoir dam. The effectiveness and accuracy of the abovementioned method were verified by comparing the results with measurements by a reversed pendulum monitoring system. MDPI 2020-01-10 /pmc/articles/PMC7014032/ /pubmed/31936713 http://dx.doi.org/10.3390/s20020396 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Peng Xing, Cheng Pan, Xiandong Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets |
title | Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets |
title_full | Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets |
title_fullStr | Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets |
title_full_unstemmed | Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets |
title_short | Reservoir Dam Surface Deformation Monitoring by Differential GB-InSAR Based on Image Subsets |
title_sort | reservoir dam surface deformation monitoring by differential gb-insar based on image subsets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014032/ https://www.ncbi.nlm.nih.gov/pubmed/31936713 http://dx.doi.org/10.3390/s20020396 |
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