NDLI: Fast Fourier Methods for Synthetic Aperture Radar Imaging

Content Provider	IEEE Xplore Digital Library
Author	Andersson, F. Moses, R. Natterer, F.
Copyright Year	1965
Abstract	In synthetic aperture radar (SAR) one wishes to reconstruct the reflectivity function of a region on the ground from a set of radar measurements taken at several angles. The ground reflectivity is found by interpolating measured samples, which typically lie on a polar grid in frequency space, to an equally spaced rectangular grid in frequency space, then computing an inverse Fourier transform. The classical polar format algorithm (PFA) is often used to perform this interpolation. We describe two other methods for performing the interpolation and imaging efficiently and accurately. The first is the gridding method, which is widely used in the medical imaging community. The second method uses unequally- spaced fast Fourier transforms (USFFTs), a generic tool for arbitrary sampling geometries. We present numerical and computational comparisons of these three methods using both point scattering data and synthetic X-band radar reflectivity predictions of a construction backhoe.
Starting Page	215
Ending Page	229
Page Count	15
File Size	2406287
File Format	PDF
ISSN	00189251
Volume Number	48
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Frequency measurement Reflectivity Interpolation Fourier transforms Three dimensional displays Radar imaging
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Aerospace Engineering

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