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Spiral SAR Imaging with Fast Factorized Back-Projection: A Phase Error Analysis.

Juliana A Góes1, Valquiria Castro1, Leonardo Sant'Anna Bins2

  • 1School of Electrical and Computer Engineering, University of Campinas-UNICAMP, Campinas 13083-852, Brazil.

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|August 10, 2021
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Summary

A new fast factorized back-projection (FFBP) algorithm significantly speeds up processing for drone-borne synthetic aperture radar (SAR) data. This method allows for faster image generation while maintaining quality, with performance gains up to 21 times over traditional methods.

Keywords:
3D imagingdronefast factorized back-projection (FFBP)synthetic aperture radar (SAR)

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Geophysics

Background:

  • Drone-borne synthetic aperture radar (SAR) systems collect valuable geospatial data.
  • Processing SAR data, especially with complex algorithms like fast factorized back-projection (FFBP), requires careful parameter selection.
  • Optimizing FFBP algorithm setup is crucial for efficient and accurate image generation.

Purpose of the Study:

  • To introduce and evaluate a fast factorized back-projection (FFBP) algorithm for P-band SAR data.
  • To develop a statistical phase error analysis for predicting FFBP processing outcomes.
  • To quantify the speed improvements of FFBP compared to direct back-projection.

Main Methods:

  • Implementation of a fast factorized back-projection (FFBP) algorithm.
  • Processing real P-band SAR data acquired from a spiral flight path.
  • Statistical phase error analysis using geometric processing parameters.

Main Results:

  • The FFBP algorithm successfully processed drone-borne P-band SAR data with a spiral flight pattern.
  • A statistical phase error analysis validated the predictability of phase error standard deviation from geometric parameters.
  • FFBP demonstrated significant speed advantages: up to 21x faster for 3D images and 13x faster for 2D images at a phase error standard deviation of ~12°.

Conclusions:

  • The FFBP algorithm offers a computationally efficient solution for processing drone-borne SAR data.
  • Predictive analysis of phase errors aids in optimizing FFBP algorithm parameters for desired image quality.
  • The FFBP algorithm presents a substantial advancement in SAR data processing speed and efficiency.