Frequency-dependent reflectivity image reconstruction

Paul Sotirelis; Jason Parker; Xueyu Hu; Margaret Cheney; Matthew Ferrara

doi:10.1117/12.2020647

23 May 2013 Frequency-dependent reflectivity image reconstruction

Paul Sotirelis, Jason Parker, Xueyu Hu, Margaret Cheney, Matthew Ferrara

Proceedings Volume 8746, Algorithms for Synthetic Aperture Radar Imagery XX; 874602 (2013) https://doi.org/10.1117/12.2020647
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

We evaluate a recently reported algorithm for computing frequency-dependent radar imagery in scenarios relevant for performing spectral feature identification. For each image pixel in the spatial domain a computed frequency dependent reflectivity is used to produce a corresponding spectral feature identification. We show that this novel image reconstruction technique is capable of considerable flexibility for achieving fine spectral resolution in comparison with previous techniques based on conventional synthetic aperture radar (SAR), yet new challenges are introduced with regard to achieving fine range resolution.

Citation Download Citation

Paul Sotirelis, Jason Parker, Xueyu Hu, Margaret Cheney, and Matthew Ferrara "Frequency-dependent reflectivity image reconstruction", Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874602 (23 May 2013); https://doi.org/10.1117/12.2020647

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