
Proceedings Paper
Iteratively compensating for multiple scattering in SAR imagingFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
The Born approximation is a common approach taken in modeling the physics of SAR imaging. In essence it says
that radiation only scatters once when in space. This is a reasonable assumption for targets that lie far apart or
that are far from the transmit and receive antennas, but it introduces error into the imaging process. The goal
of this paper is to iteratively compensate for this error by using estimates of the target distribution to estimate
multiple scattering phenomena. We will use a noise reduction technique at each iteration on the corrected data as
well as the estimated image to control any excess error caused by the estimated multiple scattering phenomena.
The physical model for our work will be based on the wave equation. We will briefly derive the important features
of the model as well as account for the error brought by common approximations that are made. Typically one
does not get an image that is approximately the target distribution, but rather an image that is approximately
proportional to the target distribution. This means that there is a scaling parameter that must be chosen when
using target distribution estimates to correct data. We will discuss methods for choosing this parameter. We
will provide a few basic SAR imaging methods and perform simulation using the Gotcha Data set in combination
with the iterative technique. At the end of the paper we will outline future work involving this method.
Paper Details
Date Published: 23 May 2013
PDF: 6 pages
Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874603 (23 May 2013); doi: 10.1117/12.2016281
Published in SPIE Proceedings Vol. 8746:
Algorithms for Synthetic Aperture Radar Imagery XX
Edmund Zelnio; Frederick D. Garber, Editor(s)
PDF: 6 pages
Proc. SPIE 8746, Algorithms for Synthetic Aperture Radar Imagery XX, 874603 (23 May 2013); doi: 10.1117/12.2016281
Show Author Affiliations
Alex Martinez, The Univ. of Texas-Pan American (United States)
Zhijun Qiao, The Univ. of Texas-Pan American (United States)
Published in SPIE Proceedings Vol. 8746:
Algorithms for Synthetic Aperture Radar Imagery XX
Edmund Zelnio; Frederick D. Garber, Editor(s)
© SPIE. Terms of Use
