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Radar Cross-section Estimation of SAR Images
Presented at EUROPTO (Paris, France) 1995.
Cite this paper as:
Ian McConnell, Richard White, Chris Oliver and Rod Cook,
`Radar cross-section estimation of SAR images',
in Synthetic Aperture Radar and Passive Microwave Sensing,
edited by G. Franceschetti et al,
Proc. SPIE 2584 (1995) pp164-175.
Abstract
We present an algorithm that is able to smooth out the speckle from many
SAR images and which does not suffer from the drawbacks of multilooking.
The algorithm is able to preserve the detail and resolution of the original
image while preserving a smooth, real-valued output.
In many cases the quality of the smoothed image is sufficiently high that
it may be used with standard optical post-processing algorithms.
We use a global optimisation method (simulated annealing) and single point
gamma statistics to find the MAP solution for the radar cross-section.
However, this method may also be regarded as an ideal adaptive filter
that is both computationally efficient and highly parallelisable.
Results are presented for airborne, ERS-1, and multi-temporal images.
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