Bachelorarbeit, 2012
42 Seiten, Note: 1,3
The main objective of this bachelor thesis is to analyze the ground movements of an urban area using SAR images and TomoSAR techniques. The goal is to monitor urban infrastructure movements to prevent potential collapses using satellite images, which allows for a larger surveillance area compared to conventional ground geodesy measurements. The area of interest is the area around the Berlin main station and the Berlin zoo.
The first two chapters focus on the theoretical basics of SAR and TomoSAR. Chapter 2 covers the principles of SAR, including SAR geometry, phase, properties like layover, chirp and speckle, as well as the resolution of SAR images. It also introduces InSAR basics, including interferometric phase, atmospheric influences, and height retrieval. Finally, it delves into Persistent Scatterer Interferometry (PSI) and SAR Tomography.
Chapter 3 then explores TomoSAR in more detail, including the processing procedures, pre-processing techniques to eliminate atmospheric phase screen (APS), and the different algorithms used for tomographic reconstruction. It describes the system model and the two primary TomoSAR algorithms, Maximum Detection and SLIMMER.
Chapter 4 delves into the application of TomoSAR on a high resolution TerraSAR-X data stack of Berlin. It outlines the steps taken for data pre-processing, including downsampling, quality measurements, creating pixel pairs, integration, filtering the residual phase, and upsampling and estimation.
Finally, Chapter 5 presents the results and analysis of the TomoSAR processing. It discusses the detected ground movements and building deformations, including seasonal and linear movements, and verifies the results by comparing them to real-world data and existing 3D city models.
The thesis focuses on the application of SAR Tomography (TomoSAR) for monitoring urban infrastructure movements. Key topics include very high resolution (VHR) SAR data, TerraSAR-X satellite data, 4D city modeling, ground deformation, and atmospheric phase screen (APS) elimination. It also explores the comparison of TomoSAR results with real-world data and existing 3D city models.
TomoSAR is an advanced interferometric SAR method that allows for 4D monitoring by combining 3D spatial data with motion parameters over time.
By using TerraSAR-X data, experts can detect minute deformations or seasonal movements in infrastructure like bridges and tunnels before they become visible to the naked eye.
The analysis revealed significant deformations and movements in Berlin's infrastructure, particularly around the main station and on bridges, sometimes up to 10mm.
The fourth dimension refers to the temporal component (time), allowing researchers to track how 3D structures change or move over a specific period.
Persistent Scatterers are stable objects (like buildings or metallic structures) that provide reliable radar reflections over long periods, used to measure precise ground movements.
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