High-resolution High-dimensional Imaging of Urban Building Based on GaoFen-3 SAR Data

被引：0
|
作者：
Bi H. [1 ]
Jin S. [1 ]
Wang X. [2 ]
Li Y. [1 ]
Han B. [3 ]
Hong W. [3 ]
机构：
[1] College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] School of Computer Science and Technology, Nanjing Tech University, Nanjing
[3] Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing
来源：
Journal of Radars | 2022年 / 11卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Differential Synthetic Aperture Radar Tomography (D-TomoSAR); Four-Dimensional (4-D) imaging; GaoFen-3 (GF-3); Synthetic Aperture Radar Tomography (TomoSAR); Three-Dimensional (3-D) imaging;
D O I：
10.12000/JR21113
中图分类号：
学科分类号：
摘要：
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. © 2022 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：40 / 51
页数：11
相关论文
共 46 条
  • [1] CURLANDER J C, MCDONOUGH R N., Synthetic Aperture Radar: Systems and Signal Processing, (1991)
  • [2] BUDILLON A, JOHNSY A C, SCHIRINZI G., Contextual information based SAR tomography of urban areas[C], 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1-4, (2019)
  • [3] REIGBER A, MOREIRA A, PAPATHANASSIOU K P., First demonstration of airborne SAR tomography using multibaseline L-band data[C], IEEE 1999 International Geoscience and Remote Sensing Symposium, pp. 44-46, (1999)
  • [4] REIGBER A, MOREIRA A., First demonstration of airborne SAR tomography using multibaseline L-band data[J], IEEE Transactions on Geoscience and Remote Sensing, 38, 5, pp. 2142-2152, (2000)
  • [5] FORNARO G, SERAFINO F., Imaging of single and double scatterers in urban areas via SAR tomography[J], IEEE Transactions on Geoscience and Remote Sensing, 44, 12, pp. 3497-3505, (2006)
  • [6] REALE D, FORNARO G, PAUCIULLO A, Et al., Tomographic imaging and monitoring of buildings with very high resolution SAR data[J], IEEE Geoscience and Remote Sensing Letters, 8, 4, pp. 661-665, (2011)
  • [7] SHAHZAD M, ZHU Xiaoxiang, Reconstruction of building façades using spaceborne multiview TomoSAR point clouds[C], 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, pp. 624-627, (2013)
  • [8] WANG Xiao, Feng XU, JIN Yaqiu, The iterative reweighted alternating direction method of multipliers for separating structural layovers in SAR tomography[J], IEEE Geoscience and Remote Sensing Letters, 14, 11, pp. 1883-1887, (2017)
  • [9] WANG Yuanyuan, ZHU Xiaoxiang, Robust nonlinear blind SAR tomography in urban areas[C], 12th European Conference on Synthetic Aperture Radar, pp. 1-6, (2018)
  • [10] QIN Fei, LIANG Xingdong, ZHANG Fubo, Et al., Building target extraction methods in array SAR tomography based on machine learning[J], Journal of Signal Processing, 35, 2, pp. 176-186, (2019)
12345