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Enhancing the Tomo-SAR Images Based on Compressive Sensing Method

Khoshnevis, Alireza | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 49225 (55)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Ghorshi, Mohammad Ali
  7. Abstract:
  8. Radar is a type of active remote sensing instrument that is used to create images of an object, such as a landscape. Synthetic Aperture Radar or SAR is another type of radar which is typically mounted on a moving platform such as an aircraft or a spacecraft and uses the motion of the antenna over the target region to provide finer spatial resolution than is possible with conventional beam-scanning radars. In fact SAR is an advanced form of Side-Looking Airborne Radar (SLAR). The movement of SAR antenna acts as another form of aperture; this aperture combined with the physical aperture of the antenna creates a large "synthetic" antenna aperture (the "size" of the antenna) which enables higher resolution. A single image that SAR creates from an object is 2 dimensional which suffers from layover and shadowing. Therefore, in order to retrieve the 3 dimensional image of the object, Synthetic aperture radar tomography or Tomo-SAR must be used as one of the advanced methods. Tomo-SAR uses multiple images to estimate the third dimension of the object. Since the problem of tomography is underdetermined, Compressive Sensing method can be applied for this process. Compressive Sensing is a new rapidly growing research field which tries to retrieve a signal from far fewer samples than required by Shannon-Nyquist rate; the number of samples needed to reconstruct a signal without error is dictated by its bandwidth. Compressive sensing has many applications such as Holography, Facial recognition, Network tomography. We intend to investigate the use of Compressive Sensing method in SAR tomography and use a CS algorithm to enhance the results
  9. Keywords:
  10. Compressive Sensing ; Tomography ; Synthetic Aperture Radar (SAR) ; Reflectivity ; Tomography Synthetic Aperture Radar (SAR) ; Reflecting Profile

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