Volume 11 Issue 1
Feb.  2022
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Article Contents
BI Hui, JIN Shuang, WANG Xiao, et al. High-resolution high-dimensional imaging of urban building based on GaoFen-3 SAR data[J]. Journal of Radars, 2022, 11(1): 40–51. doi: 10.12000/JR21113
Citation: BI Hui, JIN Shuang, WANG Xiao, et al. High-resolution high-dimensional imaging of urban building based on GaoFen-3 SAR data[J]. Journal of Radars, 2022, 11(1): 40–51. doi: 10.12000/JR21113

High-resolution High-dimensional Imaging of Urban Building Based on GaoFen-3 SAR Data(in English)

doi: 10.12000/JR21113
Funds:  National Natural Science Foundation Key International Cooperation Research Project (61860206013), Guangdong Basic and Applied Basic Research Foundation (2020B1515120060), National Natural Science Foundation of China (61901213, 62001216), Fundamental Research Funds for the Central Universities (NE2020004), Natural Science Foundation of Jiangsu Province (BK20194397), Aeronautical Science Foundation of China (201920052001), Science and Technology Innovation Project for Overseas Researchers in Nanjing, Young Science and Technology Talent Support Project of Jiangsu Science and Technology Association
More Information
  • Corresponding author: BI Hui, bihui@nuaa.edu.cn
  • Received Date: 2021-08-22
  • Rev Recd Date: 2021-09-15
  • Publish Date: 2021-09-30
  • Conventional Synthetic Aperture Radar (SAR) can only obtain two-dimensional (2-D) azimuth-range images without accurately reflecting the three-Dimensional (3-D) scattering structure information of the targets. However, SAR Tomography (TomoSAR) is a multi-baseline interferometric measurement mode that extends the synthetic aperture principle into the elevation direction, making it possible to recover the true height of the target, thereby achieving 3-D imaging. Moreover, Differential SAR Tomography (D-TomoSAR) extends the synthetic aperture principle into the elevation and time directions simultaneously. Thus, it can obtain the target 3-D scattering structure along with the deformation speed of the observed target. GaoFen-3 (GF-3) is the first C-band multi-polarization 1 m resolution SAR satellite of China. It has several advantages, such as high-resolution, large swath width, and multiple imaging modes, which are crucial to the development of a high-resolution earth observation technology for China. Presently, GF-3 data are mainly used in the image processing field, such as target identification. However, the phase information of the SAR images is not yet fully utilized. Moreover, because of the high-dimensional imaging ability that was overlooked at the beginning of designing the system, existing SAR images acquired by GF-3 have spatial and temporal de-coherence problems. Thus, it is difficult to use the images in further interference series processing. To solve the above problems, this study achieved 3-D and four-Dimensional (4-D) imaging of buildings around Yanqi Lake, in Beijing, based on the data of seven SAR complex images. We obtained the 3-D scattering structure information of buildings and achieved millimeter-level high-precision monitoring of building deformation. The preliminary experimental results demonstrate the application potential of GF-3 SAR data and provide a technical support for the subsequent further application of the GF-3 SAR satellite in urban sensing and monitoring.

     

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