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Depoy RS, Shaw AK. Algorithm to overcome atmospheric phase errors in SAL data. Appl Opt. 2020;59(1):140-150doi: 10.1364/AO.59.000140.
Depoy, R. S., & Shaw, A. K. (2020). Algorithm to overcome atmospheric phase errors in SAL data. Applied optics, 59(1), 140-150. https://doi.org/10.1364/AO.59.000140
Depoy, Randy S, and Shaw, Arnab K. "Algorithm to overcome atmospheric phase errors in SAL data." Applied optics vol. 59,1 (2020): 140-150. doi: https://doi.org/10.1364/AO.59.000140
Depoy RS, Shaw AK. Algorithm to overcome atmospheric phase errors in SAL data. Appl Opt. 2020 Jan 01;59(1):140-150. doi: 10.1364/AO.59.000140. PMID: 32225280.
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Appl Opt. 2020 Jan 01;59(1):140-150. doi: 10.1364/AO.59.000140.

Algorithm to overcome atmospheric phase errors in SAL data.

Applied optics

Randy S Depoy, Arnab K Shaw

PMID: 32225280 DOI: 10.1364/AO.59.000140

Abstract

Synthetic aperture ladar is an emerging sensor technology providing high-resolution imagery of targets from long standoff ranges. Atmospheric turbulence corrupts the collected phase history data with spatially variant phase perturbations, impacting resolution and contrast of reconstructed imagery. We explore the efficacy of model-based reconstruction algorithms with model error corrections to mitigate the deleterious effects of atmospheric turbulence and restore image quality. We present results from model error correction techniques utilizing spatially invariant, spatially variant, and a model-based atmospheric phase error correction. We quantify the performance of all algorithms using an atmospheric ray-trace simulation.

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