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Summary

A new algorithm effectively removes fringe noise from Sustainable Development Science Satellite (SDGSAT-1) thermal images. This method preserves image detail and clarity, outperforming existing techniques for remote sensing applications.

Keywords:
SDGSAT-1frequency domain guidancefringe noiseimage processingthermal infrared

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Area of Science:

  • Earth Observation
  • Remote Sensing Technology
  • Image Processing

Background:

  • Sustainable Development Science Satellite (SDGSAT-1) thermal imaging captures high-resolution ground data.
  • Pendulum sweep imaging and detector imperfections cause fringe noise in SDGSAT-1 images.
  • Fringe noise degrades the quality and interpretability of thermal remote sensing data.

Purpose of the Study:

  • To develop an effective algorithm for removing lateral and vertical fringe noise from SDGSAT-1 thermal images.
  • To maintain image detail and clarity while suppressing fringe artifacts.
  • To evaluate the proposed algorithm's performance against existing methods.

Main Methods:

  • A novel Fringing algorithm based on low-rank-based single-image decomposition (LRSID) was proposed.
  • The method involves pretreatment of stripes, processing vertical and horizontal fringes using LLSID, and frequency domain replacement.
  • Fourier inverse transformation was applied to reconstruct the final denoised image.

Main Results:

  • The proposed LRSID-based algorithm successfully removed simulated and actual fringe noise from SDGSAT-1 thermal images.
  • Visual and quantitative comparisons demonstrated superior performance compared to other algorithms.
  • The algorithm effectively removed both horizontal and vertical fringes while preserving image details.

Conclusions:

  • The developed Fringing algorithm offers an effective solution for noise reduction in SDGSAT-1 thermal imaging.
  • This method significantly enhances the quality of thermal remote sensing data for scientific analysis.
  • The algorithm's ability to preserve image clarity makes it valuable for various Earth observation applications.