Research on Differential Tomography SAR Imaging of Urban Buildings -- Taking the Government Building in Bao'an District, Shenzhen as an Example
Journal: Journal of Building Technology DOI: 10.32629/jbt.v6i2.3170
Abstract
Differential SAR Tomography (D-TomoSAR), an extension of InSAR technology, integrates D-InSAR and TomoSAR to achieve imaging in the height-deformation rate (s-v) domain. It resolves SAR imaging layover issues and retrieves the elevation and deformation rate of scatterers within a pixel. Using the Bao'an District Government Building in Shenzhen as an example, this study applies D-TomoSAR for four-dimensional urban building imaging. Based on Persistent Scatterer (PS) points, the experiment involves interferometric processing and PS point selection to obtain differential interferogram sequences and PS points. The Orthogonal Matching Pursuit (OMP) algorithm is employed for D-TomoSAR imaging, reconstructing elevation-deformation rate backscattering profiles. Theoretical analysis and case studies assess resolution and reconstruction performance. Compared to traditional InSAR, D-TomoSAR retains high resolution while significantly improving scatterer reconstruction accuracy, achieving precise urban building deformation estimation. This study highlights the potential of D-TomoSAR for large-scale urban deformation monitoring applications.
Keywords
D-TomoSAR; PS; OMP; deformation
Full Text
PDF - Viewed/Downloaded: 0 TimesReferences
[1] Bekaert DPS, Walters RJ, Wright TJ, el. 2015. Statistical comparison of InSAR tropospheric correction techniques. Remote Sensing of Environment, 170: 40-47. DOI:10.1016/j.rse.2015.08.035.
[2] Lombardini F. 2005. Differential tomography: a new framework for SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 43(1): 37-44. DOI:10.1109/TGRS.2004.838371.
[3] Pang L, Gai Y, Zhang T. 2021. Joint sparsity for TomoSAR Imaging in urban areas using building POI and TerraSAR-X staring spotlight data. Sensors, 21(20): 6888. DOI:10.3390/s21206888.
[4] A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms | IEEE Journals & Magazine | IEEE Xplore[EB/OL]. [2024-11-23]. https://ieeexplore.ieee.org/abstract/document/1166596.
[5] Single-look multi-master sar tomography: an introduction | IEEE Journals & Magazine | IEEE Xplore[EB/OL]. [2024-11-23]. https://ieeexplore.ieee.org/abstract/document/9133203.
[6] Four-dimensional SAR imaging for height estimation and monitoring of single and double scatterers | IEEE Journals & Magazine | IEEE Xplore[EB/OL]. [2024-11-23]. https://ieeexplore.ieee.org/abstract/document/4685869.
[7] Montazeri S, Zhu XX, Eineder M, el. 2016. Three-dimensional deformation monitoring of urban infrastructure by tomographic SAR using multitrack TerraSAR-X data stacks. IEEE Transactions on Geoscience and Remote Sensing, 54(12): 6868-6878. DOI:10.1109/TGRS.2016.2585741.
[2] Lombardini F. 2005. Differential tomography: a new framework for SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 43(1): 37-44. DOI:10.1109/TGRS.2004.838371.
[3] Pang L, Gai Y, Zhang T. 2021. Joint sparsity for TomoSAR Imaging in urban areas using building POI and TerraSAR-X staring spotlight data. Sensors, 21(20): 6888. DOI:10.3390/s21206888.
[4] A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms | IEEE Journals & Magazine | IEEE Xplore[EB/OL]. [2024-11-23]. https://ieeexplore.ieee.org/abstract/document/1166596.
[5] Single-look multi-master sar tomography: an introduction | IEEE Journals & Magazine | IEEE Xplore[EB/OL]. [2024-11-23]. https://ieeexplore.ieee.org/abstract/document/9133203.
[6] Four-dimensional SAR imaging for height estimation and monitoring of single and double scatterers | IEEE Journals & Magazine | IEEE Xplore[EB/OL]. [2024-11-23]. https://ieeexplore.ieee.org/abstract/document/4685869.
[7] Montazeri S, Zhu XX, Eineder M, el. 2016. Three-dimensional deformation monitoring of urban infrastructure by tomographic SAR using multitrack TerraSAR-X data stacks. IEEE Transactions on Geoscience and Remote Sensing, 54(12): 6868-6878. DOI:10.1109/TGRS.2016.2585741.
Copyright © 2025 Jianxu Wang, Long Li, Chonghui Zhang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License