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Proceedings Paper

On the relationship between the generalized likelihood ratio test and backprojection for synthetic aperture radar imaging
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Paper Abstract

In synthetic aperture radar (SAR) imaging, a scene of interest is illuminated by electromagnetic waves. The aim is to reconstruct an image of the scene from the measurement of the scattered waves using airborne antenna(s). There are many imaging systems which are built upon this notion such as mono-static SAR, bi-static SAR, and hitchhiker SAR. For these modalities, there are analytic reconstruction algorithms based on backprojection. Backprojection-based algorithms have the advantage of putting the visible edges of the scene at the right location and orientation in the reconstructed images. On the other hand, there is also a SAR imaging method based on the generalized likelihood-ratio test (GLRT). In particular we consider the problem of detecting a target at an unknown location. In the GLRT, the presence of a target in the scene is determined based on the likelihood-ratio test. Since the location of the target is not known, the GLRT test statistic is calculated for each position in the scene and the location corresponding to the maximum test statistic indicates the location of a potential target. In this paper, we show that the backprojection-based analytic reconstruction methods include as a special case the GLRT method. We show that the GLRT test statistic is related to the reflectivity of the scene when a backprojection-based reconstruction algorithm is used.

Paper Details

Date Published: 5 May 2009
PDF: 10 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 73350I (5 May 2009); doi: 10.1117/12.818554
Show Author Affiliations
K. Voccola, Rensselaer Polytechnic Institute (United States)
B. Yazici, Rensselaer Polytechnic Institute (United States)
M. Ferrara, Air Force Research Lab. (United States)
M. Cheney, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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