Fast Fourier Methods for Synthetic Aperture Radar Imaging
(2012) In IEEE Transactions on Aerospace and Electronic Systems 48(1). p.215-229- Abstract
- In synthetic aperture radar 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. In this paper 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 FFTs, a generic tool for... (More)
- In synthetic aperture radar 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. In this paper 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 FFTs, 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1963289
- author
- Andersson, Fredrik LU ; Moses, Randolph and Natterer, Frank
- organization
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- subject
- in
- IEEE Transactions on Aerospace and Electronic Systems
- volume
- 48
- issue
- 1
- pages
- 215 - 229
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- wos:000302643100016
- scopus:84856143642
- ISSN
- 0018-9251
- DOI
- 10.1109/TAES.2012.6129631
- language
- English
- LU publication?
- yes
- id
- e195f005-72b9-436b-a049-6d173036ca8b (old id 1963289)
- date added to LUP
- 2016-04-01 10:48:29
- date last changed
- 2022-01-26 02:38:17
@article{e195f005-72b9-436b-a049-6d173036ca8b, abstract = {{In synthetic aperture radar 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. In this paper 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 FFTs, 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.}}, author = {{Andersson, Fredrik and Moses, Randolph and Natterer, Frank}}, issn = {{0018-9251}}, language = {{eng}}, number = {{1}}, pages = {{215--229}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Aerospace and Electronic Systems}}, title = {{Fast Fourier Methods for Synthetic Aperture Radar Imaging}}, url = {{http://dx.doi.org/10.1109/TAES.2012.6129631}}, doi = {{10.1109/TAES.2012.6129631}}, volume = {{48}}, year = {{2012}}, }