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Efficient Super-Resolution Method for Targets Observed by Satellite SAR.

Seung-Jae Lee1, Sun-Gu Lee1

  • 1Korea Aerospace Research Institute, 169-84, Gwahak-ro, Daejeon 34133, Republic of Korea.

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|July 14, 2023
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Summary
This summary is machine-generated.

This study introduces an efficient super-resolution (SR) method for satellite synthetic aperture radar (SAR) images. The novel approach enhances target image resolution robustly and rapidly, even at high SR degrees.

Keywords:
KOMPSAT-5SAR remote sensingsatellite SARsuper-resolutiontarget response

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Image Analysis

Background:

  • Satellite synthetic aperture radar (SAR) systems generate large-scale images crucial for Earth observation.
  • Improving the spatial resolution of SAR images (super-resolution, SR) is vital for detailed target analysis.
  • Existing SAR SR methods often struggle with robustness at high SR degrees and computational efficiency.

Purpose of the Study:

  • To develop an efficient and robust super-resolution (SR) method for satellite SAR target imagery.
  • To address limitations of conventional SAR SR techniques, particularly concerning high SR degrees and processing speed.
  • To incorporate adaptive preprocessing based on target motion for improved SR performance.

Main Methods:

  • Extraction and adaptive preprocessing of small target images from large SAR datasets.
  • Utilizing compressive sensing to extract principal scattering centers.
  • Generating and enhancing the satellite SAR system's impulse response function (IRF-S) via spectral estimation.
  • Combining super-resolved IRF-S with scattering centers to reconstruct super-resolved target images.

Main Results:

  • The proposed SAR SR method demonstrates superior robustness at high SR degrees compared to conventional approaches.
  • Achieved faster computation time (CT) across all SR degrees.
  • Quantitative and qualitative analyses confirmed the effectiveness of the SR capabilities for various targets.

Conclusions:

  • The developed SAR SR scheme offers a practical and efficient solution for enhancing satellite SAR target resolution.
  • Adaptive preprocessing tailored to target motion significantly improves SR processing.
  • The method provides a robust and computationally fast alternative for high-degree SAR super-resolution.