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A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset

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Поле Значение
 
Заглавие A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset
 
Автор Zhao, R.
Viktorovich, Z. A.
Li, J.
Chen, C.
Zheng, M.
 
Тематика MINING SUBSIDENCE
SINGLE-GEOMETRY SAR DATASET
SYNTHETIC APERTURE RADAR (SAR) INTERFEROMETRY (INSAR)
THREE-DIMENSIONAL (3D) DEFORMATION
DATA MINING
INTERFEROMETRY
MEAN SQUARE ERROR
MINING
SPACE-BASED RADAR
SUBSIDENCE
SYNTHETIC APERTURE RADAR
3-D DEFORMATION
HORIZONTAL DISPLACEMENTS
MINING AREAS
MINING SUBSIDENCE
RADAR DATA
RADAR DATASETS
SINGLE-GEOMETRY SYNTHETIC APERTURE RADAR DATASET
SYNTHETIC APERTURE RADAR INTERFEROMETRY (INSAR)
SYNTHETIC APERTURE RADAR INTERFEROMETRY
THREE-DIMENSIONAL (3D) DEFORMATION
GEOMETRY
 
Описание This paper presents a strategy for extracting three-dimensional (3D) mining deformation from a single-geometry synthetic aperture radar (SAR) dataset. In light of the directionality of horizontal displacement caused by underground mining, we first re-model the proportional relationship between horizontal displacement and horizontal gradient of subsidence. Afterward, to improve the stability of the re-model, a solution strategy is proposed by setting different solution starting points and directions. The proposed method allows hiring of arbitrary single-geometry SAR data (e.g., air-borne, space-borne, and ground-borne SAR data) to reconstruct 3D displacements of mining areas. The proposed method has been validated through simulation and in-site data. The simulation data monitoring results indicate that the root mean square errors (RMSE) of the 3D displacements extracted by the proposed strategy are 0.45, 0.5, and 2.98 mm for the vertical subsidence, east–west, and north–south horizontal displacements, respectively. The in-site data monitoring results indicate that the RMSE of vertical subsidence compared with the leveling data are 7.3 mm. Furthermore, the MSBAS method was employed to further validate the reliability of the proposed method, the results show that the proposed method is effective to obtain the 3D deformation of the mining area, which greatly improves the applicability of SAR interferometry in the 3D deformation monitoring of the mining areas. © 2023 by the authors.
National Natural Science Foundation of China, NSFC: 51774270; China Scholarship Council, CSC: 202210100034
This work was partly supported by the National Natural Science Foundation of China (No. 51774270), China Scholarship Council (Grant 202210100034).
 
Дата 2024-04-05T16:36:18Z
2024-04-05T16:36:18Z
2023
 
Тип Article
Journal article (info:eu-repo/semantics/article)
|info:eu-repo/semantics/publishedVersion
 
Идентификатор Zhao, R, Zhabko, AV, Li, J, Chen, C & Zheng, M 2023, 'A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset', Remote Sensing, Том. 15, № 21, 5244. https://doi.org/10.3390/rs15215244
Zhao, R., Zhabko, A. V., Li, J., Chen, C., & Zheng, M. (2023). A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset. Remote Sensing, 15(21), [5244]. https://doi.org/10.3390/rs15215244
2072-4292
Final
All Open Access, Gold
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176347072&doi=10.3390%2frs15215244&partnerID=40&md5=6a99d8373ea1966dccc48d16d40cdea1
https://www.mdpi.com/2072-4292/15/21/5244/pdf?version=1699108559
http://elar.urfu.ru/handle/10995/130944
10.3390/rs15215244
85176347072
001099452300001
 
Язык en
 
Права Open access (info:eu-repo/semantics/openAccess)
cc-by
https://creativecommons.org/licenses/by/4.0/
 
Формат application/pdf
 
Издатель Multidisciplinary Digital Publishing Institute (MDPI)
 
Источник Remote Sensing
Remote Sensing