A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригиналаПоле | Значение | |
Заглавие |
A New Strategy for Extracting 3D Deformation of Mining Areas from a Single-Geometry Synthetic Aperture Radar Dataset
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Автор |
Zhao, R.
Viktorovich, Z. A. Li, J. Chen, C. Zheng, M. |
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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 |
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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). |
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Дата |
2024-04-05T16:36:18Z
2024-04-05T16:36:18Z 2023 |
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Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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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 |
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Язык |
en
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Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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Формат |
application/pdf
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Издатель |
Multidisciplinary Digital Publishing Institute (MDPI)
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Источник |
Remote Sensing
Remote Sensing |
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