Proceedings ArticleDOI
SAR image formation toolbox for MATLAB
LeRoy A. Gorham,Linda J. Moore +1 more
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TLDR
In this paper, a MATLAB code for synthetic aperture radar image reconstruction using the matched filter and backprojection algorithms is provided, and a manipulation of the back-projection imaging equations is provided to show how common MATLAB functions, ifft and interp1, may be used for straightforward SAR image formation.Abstract:
While many synthetic aperture radar (SAR) image formation techniques exist, two of the most intuitive methods
for implementation by SAR novices are the matched filter and backprojection algorithms. The matched filter and
(non-optimized) backprojection algorithms are undeniably computationally complex. However, the backprojection
algorithm may be successfully employed for many SAR research endeavors not involving considerably large
data sets and not requiring time-critical image formation. Execution of both image reconstruction algorithms
in MATLAB is explicitly addressed. In particular, a manipulation of the backprojection imaging equations is
supplied to show how common MATLAB functions, ifft and interp1, may be used for straight-forward SAR
image formation. In addition, limits for scene size and pixel spacing are derived to aid in the selection of an
appropriate imaging grid to avoid aliasing. Example SAR images generated though use of the backprojection
algorithm are provided given four publicly available SAR datasets. Finally, MATLAB code for SAR image
reconstruction using the matched filter and backprojection algorithms is provided.read more
Citations
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Anisotropic design and optimization of conformal gradient lattice structures
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SAR Ground Moving Target Imaging Algorithm Based on Parametric and Dynamic Sparse Bayesian Learning
TL;DR: A novel synthetic aperture radar (SAR) ground moving target imaging (GMTIm) algorithm is presented within a parametric and dynamic sparse Bayesian learning (SBL) framework and provides a fully posterior distribution for the SAR moving target image, rather than a poor point estimate used in conventional methods.
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TL;DR: The fast backprojection (FBP) algorithm is introduced for video-SAR image formation and avoids unnecessary duplication of processing for the overlapping parts between consecutive video frames and achieves O(N2 log N) complexity through a recursive procedure.
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Scene size limits for polar format algorithm
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References
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Book
Spotlight synthetic aperture radar : signal processing algorithms
TL;DR: In this article, the authors present a spotlight SAR and polar format algorithm for non-planar motion polar format processing with phase error management and phase error magnitude of phase error requirements on a practical SAR motion sensor moving target effects.
Book
Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach
TL;DR: In this article, the authors developed a rigorous theoretical framework for spotlight-mode SAR imaging, using a paradigm based on three-dimensional tomographic concepts, and used the polar-reformatting algorithm for robust image formation.
Book
Synthetic Aperture Radar Signal Processing with MATLAB Algorithms
TL;DR: Range Imaging Cross-Range Imaging SAR Radiation Pattern Generic Synthetic Aperture Radar Spotlight Synthetic aperture radar Spotlight Stripmap SyntheticAperture Radar Circular Synthetics Aperture radar Monopulse Synthetic Bperture Radar Bibliography Index.
Journal ArticleDOI
A tomographic formulation of spotlight-mode synthetic aperture radar
TL;DR: In this article, a projection-slice theorem from computer-aided tomograpy (CAT) is used to analyze the signal recorded at each SAR transmission point, which is modeled as a portion of the Fourier transform of a central projection of the imaged ground area.
Journal ArticleDOI
Synthetic-aperture radar processing using fast factorized back-projection
TL;DR: It is shown that the back-projection integral can be recursively partitioned and an effective algorithm constructed based on aperture factorization is constructed and the number of operations is drastically reduced and can be made to approach that of fast transform algorithms.
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