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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Convolution backprojection image reconstruction for spotlight mode synthetic aperture radar.

M D Desai¹, W K Jenkins

¹MIT Lincoln Lab., Lexington, MA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 1, 1992

Summary

Convolution backprojection (CBP) image reconstruction enhances synthetic-aperture radar (SAR) imaging by processing polar format data. This method improves image quality by using 1-D interpolation, offering higher resolution and more effective data utilization.

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Area of Science:

Radar Imaging
Signal Processing
Computational Imaging

Background:

Synthetic-aperture radar (SAR) is crucial for high-resolution imaging.
Spotlight mode SAR conventionally records data in polar format.
Existing reconstruction methods may introduce inaccuracies.

Purpose of the Study:

To introduce and evaluate the Convolution Backprojection (CBP) algorithm for SAR image reconstruction.
To demonstrate CBP's ability to produce high-resolution images directly from polar format data.
To highlight the advantages of CBP over traditional interpolation techniques.

Main Methods:

The CBP algorithm processes SAR data directly in its native polar recording format.
It involves filtering each projection and then backprojecting the ensemble.
The method utilizes 1-D interpolation along filtered projections for precise summation.

Main Results:

CBP reconstruction yields high-quality, high-resolution SAR images.
The algorithm effectively utilizes all recorded data in the spectral domain.
By employing 1-D interpolation, CBP avoids the inaccuracies associated with 2-D interpolation.

Conclusions:

Convolution Backprojection (CBP) offers a superior method for SAR image reconstruction.
The technique enhances image fidelity and data efficiency in spotlight mode SAR.
CBP represents a significant advancement in achieving high-resolution radar imaging.