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| Title | Fast Fourier Methods for Synthetic Aperture Radar Imaging |
| Author/s | Fredrik Andersson, Randolph Moses, Frank Natterer |
| Department/s |
Mathematics (Faculty of Technology)
|
| Full-text | Full text is not available in this archive |
| Alternative location (URL) | http://dx.doi.org/10.1109/TAES... Restricted Access (Alternative Location) |
| Publication/Series | IEEE Transactions on Aerospace and Electronic Systems |
| Publishing year | 2012 |
| Volume | 48 |
| Issue | 1 |
| Pages | 215 - 229 |
| Document type | Journal article |
| Status | published |
| Quality controlled | yes |
| Language | English |
| Publisher | IEEE |
| Abstract English | 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. |
| Subject |
Mathematics and Statistics |
| ISBN/ISSN/Other |
ISSN: 1557-9603 ISSN: 0018-9251 |
| Research group | Harmonic Analysis and Applications |
