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A Comparison of Segmentation Methods with Standard CFAR for Point
Target Detection
Presented at EUROPTO (Barcelona, Spain) 1998.
Cite this paper as:
Ian McConnell and Chris Oliver,
`A comparison of segmentation methods with standard CFAR for point
target detection',
in SAR Image Analysis, Modelling and Techniques,
edited by F. Posa,
Proc. SPIE 3497 (1998) pp76-87.
Abstract
The paper considers the problem of detecting point-like targets in SAR
imagery. We review the theory of constant false alarm rate (CFAR) detection,
but note that on real SAR images CFAR performance is limited in two respects:
- Inhomogeneities in the background cause a marked increasing in the false alarm rate.
- As the target may only subtend a few pixels, we can only reduce the
uncertainty introduced by speckle by increasing the size of the background
region.
We suggest that these problems can be overcome by using segmentation as a
method for obtaining optimal background regions and verify this with
experiment.
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