Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR
John McKay, Anne Gelb, Suren Jayasuriya, Vishal Monga
TL;DR
This paper introduces an improved thresholded non-uniform Fourier frame-based reconstruction method for stripmap SAR, enhancing robustness and efficiency in processing non-uniform Fourier data for SAR imaging.
Contribution
It extends the non-uniform fast Fourier transform with a frame reconstruction algorithm and proposes an improved thresholded version for better performance and computational efficiency.
Findings
Effective reconstruction on real SAR data
Enhanced robustness with thresholded algorithm
Faster computation compared to traditional methods
Abstract
Fourier domain methods are fast algorithms for SAR imaging. They typically involve an interpolation in the frequency domain to re-grid non-uniform data so inverse fast Fourier transforms can be performed. In this paper, we apply a frame reconstruction algorithm, extending the non-uniform fast Fourier transform, to stripmap SAR data. Further, we present an improved thresholded frame reconstruction algorithm for robust performance and improved computational efficiency. We demonstrate compelling results on real stripmap SAR data.
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Taxonomy
TopicsAdvanced SAR Imaging Techniques · Seismic Imaging and Inversion Techniques · Sparse and Compressive Sensing Techniques