Proceedings Paper
Frequency-dependent reflectivity image reconstruction| Format | Member Price | Non-Member Price |
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Paper 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.
Paper Details
Date Published: 23 May 2013
PDF: 8 pages
Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874602 (23 May 2013); doi: 10.1117/12.2020647
Published in SPIE Proceedings Vol. 8746:
Algorithms for Synthetic Aperture Radar Imagery XX
Edmund Zelnio; Frederick D. Garber, Editor(s)
PDF: 8 pages
Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874602 (23 May 2013); doi: 10.1117/12.2020647
Show Author Affiliations
Paul Sotirelis, Air Force Research Lab. (United States)
Jason Parker, Air Force Research Lab. (United States)
Xueyu Hu, Air Force Research Lab. (United States)
Jason Parker, Air Force Research Lab. (United States)
Xueyu Hu, Air Force Research Lab. (United States)
Margaret Cheney, Colorado State Univ. (United States)
Matthew Ferrara, Matrix Research, Inc. (United States)
Matthew Ferrara, Matrix Research, Inc. (United States)
Published in SPIE Proceedings Vol. 8746:
Algorithms for Synthetic Aperture Radar Imagery XX
Edmund Zelnio; Frederick D. Garber, Editor(s)
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