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Proceedings Paper

Comparison of superresolution algorithms
Author(s): Raman K. Mehra; Avinash Gandhe; Melvyn Huff; Ravi B. Ravichandran
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Paper Abstract

Resolution is a fundamental limitation of any processing based on radar data. Conventional radar imaging techniques, in general, make use of the FFT to determine the spatial location of a target from its scattered field. The resolution of these images is limited by the bandwidth of the interrogating radar system and the aspect angle sector over which the target is observed. In such cases, superresolution offers the potential to improve system performance by increasing the resolution. Superresolution is the process of increasing the effective bandwidth of an image (or time series) by introducing collateral data to augment the dataset; thus the Rayleigh resolution imposed by the size of the dataset is overcome by the introduction of the synthetic collateral data. This paper presents a state of the art survey of radar superresolution, applicable to both 1-D and 2-D data and a comparison of superresolution algorithms using real and simulated data sets. Complex data sets are chosen so as to mimic scenes with a large number of scattering mechanisms. The paper also presents specific applications of superresolution for air-to-ground surveillance, data resolution enhancement, SAR ATR and FOPEN ATR.

Paper Details

Date Published: 14 October 1998
PDF: 9 pages
Proc. SPIE 3462, Radar Processing, Technology, and Applications III, (14 October 1998); doi: 10.1117/12.326760
Show Author Affiliations
Raman K. Mehra, Scientific Systems Co., Inc. (United States)
Avinash Gandhe, Scientific Systems Co., Inc. (United States)
Melvyn Huff, Scientific Systems Co., Inc. (United States)
Ravi B. Ravichandran, Scientific Systems Co., Inc. (United States)


Published in SPIE Proceedings Vol. 3462:
Radar Processing, Technology, and Applications III
William J. Miceli, Editor(s)

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