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Related Experiment Video

Updated: Jul 7, 2026

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

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

Summary

This summary is machine-generated.

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.

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Last Updated: Jul 7, 2026

Quasi-light Storage for Optical Data Packets

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

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.
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.