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SAR Imaging Using the TomoSAR Technique to Resolve Multiple Scatterers

Omati, Mohammad Mahdi | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55596 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Bastani, Mohammad Hassan; Karbasi, Mohammad
  7. Abstract:
  8. During the last few years, the study of urban environment structures is considered as a research field of interest in remote sensing. In satellite observations of the earth's surface, continuous imaging in terms of time and space has caused the remote sensing technique to be proposed as a useful and efficient tool for the analysis of urban areas. Obtaining quantitative spatial information from the urban environment in fields such as determining the height of buildings plays an essential role in urban planning, monitoring damage to buildings, establishing communication bases and digital cities. During the last two decades, the use of Tomosar approach in order to reconstruct the structures of urban areas in 3D has been of great interest. Many non-parametric methods based on spectrum estimation for a large number of images show good performance in detecting and revealing the location of scatterers, but for a small number of images or the placement of scatterers at a distance less than the height resolution limit, detecting scatterers is a challenge. faces In this thesis, we examine four methods based on spectrum estimation and state their strengths and weaknesses. In addition, we present two new methods that are based on partitioning and covariance matrix extrapolation, respectively, and we will show their resolution power for a small number of images and at a distance less than the height resolution limit
  9. Keywords:
  10. Nonparametric Method ; Detection ; Spectral Estimation ; Synthetic Aperture Imaging ; Synthetic Aperture Radar (SAR) ; TomoSAR Technique ; Multiple Scatterers

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