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Rate allocation for spotlight SAR phase history data compression.

J W Owens1, M W Marcellin

  • 1Dept. of Electr. and Comput. Eng., Arizona Univ., Tucson, AZ 85721, USA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 13, 2008
PubMed
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This study introduces a novel compression method for spotlight synthetic aperture radar (SAR) phase history data. The technique efficiently allocates bits using a gain factor derived from aperture weighting and Fourier transforms, improving data compression.

Area of Science:

  • Remote Sensing
  • Signal Processing
  • Radar Systems

Background:

  • Synthetic Aperture Radar (SAR) systems generate complex phase history data requiring significant processing for image formation.
  • Spotlight mode SAR utilizes aperture weighting and inverse Fourier transforms for image generation from phase history data.
  • Efficient compression of SAR phase history data is crucial for reducing storage and transmission burdens.

Purpose of the Study:

  • To develop and evaluate an efficient compression method for complex phase history data in spotlight SAR systems.
  • To leverage aperture weighting and Fourier transform processing for optimized data quantization.

Main Methods:

  • Exploitation of the aperture weighting function in conjunction with Fourier transform processing.
  • Attachment of a 'gain' factor to each complex phase history data sample.

Related Experiment Videos

  • Utilization of the gain factor for efficient bit allocation during data quantization.

    • Main Results:

    • The proposed compression system demonstrates efficient bit allocation for SAR phase history data.
    • Performance evaluations show competitive compression capabilities compared to existing SAR data compression systems.

    Conclusions:

    • The developed gain factor-based quantization method offers an effective approach for compressing spotlight SAR phase history data.
    • This technique contributes to improved efficiency in SAR data processing and management.