Ms. Ziye Guo Profile

Ziye Guo

at Beijing Univ of Civil Engineering and Architecture

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Publications (2)

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Proceedings Article | 15 February 2022 Paper

Comparison of multiple scatterer detection methods in differential SAR tomography

Ziye Guo, Hui Liu, Yuxi Jiang, Bihui Cheng, Xinyu Guo, Shuaihua Tian

Proceedings Volume 12166, 1216612 (2022) https://doi.org/10.1117/12.2607944

KEYWORDS: Signal detection, Synthetic aperture radar, Tomography, Sensors, Compressed sensing, Buildings, Scattering, Stereoscopy

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Synthetic aperture radar (SAR) tomography is a technique that offers new perspectives in the 4-D reconstruction (3-D spatial information plus deformation information), particularly, of urban areas. SAR tomography allows resolving layovers by handle the situation where multiple scatterers exist within a resolution cell. The detection of scatterers is however a critical and challenging issue. Single scatterers can be simply detected by the amplitude dispersion method, but it does not meet the application needs of urban buildings. In this paper, we study a variety of methods for scatterer detection in differential SAR Tomography. We mainly investigate three detection approaches based on signal estimation and detection: sequential generalized likelihood ratio test (SGLRT), sup-GLRT, and fast-sup-GLRT. Firstly, theoretical performances of each method are analyzed in details. Secondly, experimental validation is carried out through simulation data and real data from TerraSAR-X satellite corresponding to a building—North Star Times Tower in Beijing, China. Finally, we compared the signal detecting based methods involved in this paper, with the compressed sensing (CS) methods (e.g., regularized orthogonal matching pursuit (ROMP) and L1-norm regularization). The results demonstrate that the CS methods achieve only the spatial information of the scatterers, whereas the signal detecting based methods are capable of obtaining the backward scattering power information of each scatterer in parallel with the spatial information. This leads to the conclusion that the signal detecting based methods gain more information about the scatterer than the CS-based methods. Furthermore, the detection accuracy and time cost of the aforementioned methods are presented and discussed.

Proceedings Article | 15 February 2022 Paper

Research on permanent scatterer extraction methods in differential SAR tomography

Bihui Cheng, Hui Liu, Ziye Guo, Yuxi Jiang, Xinyu Guo, Shuaihua Tian

Proceedings Volume 12166, 121661F (2022) https://doi.org/10.1117/12.2611675

KEYWORDS: Synthetic aperture radar, Tomography, Signal to noise ratio, Scattering, Buildings, Interferometric synthetic aperture radar, Coherence (optics), Target detection

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Differential Tomography SAR (D-TomoSAR) is a significant technology for large-scale land subsidence monitoring, which can be utilized to obtain deformation information. In particular, it owns unique technical advantages, such as high deformation sensitivity and accuracy. D-TomoSAR allows resolving layovers by handle the situation where multiple scatterers exist within a range-azimuth resolution cell. However, the extraction of scatterers is a critical and challenging issue. As we all know, there are four main parameters for a PS in SAR images. They are namely amplitude, phase, coherence and signal-to-clutter ratio (SCR). In this paper, the characteristic of the four parameters is analyzed firstly. Then, according to the characteristic of the four parameters, three different methods of PS extraction are studied theoretically, which are amplitude dispersion (AD) threshold method, coherence coefficient (CC) threshold method and SCR threshold method in temporal and spatial domain. Finally, the SAR data from TerraSAR-X satellite are used for experimental at North Star Times Tower in Beijing, China. The extraction results of the three approaches are compared. The experimental results show that AD and SCR methods are more reliable than CC method. It is due to that CC approach is affected by the neighborhood pixels to a large extent. Additionally, SCR method is more time saving than AD and CC methods. Therefore, we can conclude that SCR approach is suitable for engineering application.

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