Efficient and accurate approximation of super-resolution spectral estimation methods for SAR imaging

Alex Batts; Brian Rigling

doi:10.1117/12.3014933

7 June 2024 Efficient and accurate approximation of super-resolution spectral estimation methods for SAR imaging

Alex Batts, Brian Rigling

Proceedings Volume 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI; 130320B (2024) https://doi.org/10.1117/12.3014933
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

Superresolution methods of spectral estimation have shown much promise for creating high quality SAR images that are devoid of the inherent shortcomings of classical Fourier techniques. However, many modern spectral estimation techniques involve the estimation of a correlation matrix and manipulations thereof, both of which can be prohibitively expensive. While efficient methods of computing these spectral estimation techniques have been explored in the literature, for large scenes with high resolution, it is often still too expensive to compute and store the data necessary for the computations. These techniques thus have had limited application in the vast array of SAR imaging problems. This paper presents several methods for generating accurate approximations of these spectral estimation techniques while further improving the computational efficiency and reducing the storage burden.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Alex Batts and Brian Rigling "Efficient and accurate approximation of super-resolution spectral estimation methods for SAR imaging", Proc. SPIE 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI, 130320B (7 June 2024); https://doi.org/10.1117/12.3014933

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