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Segmentation-based Target Detection in SAR
Presented at EUROPTO (Florence, Italy) 1999.
Cite this paper as:
Ian McConnell and Chris Oliver,
`Segmentation-based target detection in SAR',
in SAR Image Analysis, Modelling and Techniques II,
edited by F. Posa,
Proc. SPIE 3869 (1999) pp45-54.
Abstract
This paper proposes a target detection scheme based on prior segmentation
of the image. Introducing the prior knowledge of image structure provided
by the previous segmentation eliminates many false target detections from
background structure. The performance of the new scheme is shown to be
identical to an ideal one-parameter CFAR for constant background.
With real clutter backgrounds, the background detection probability with
the new scheme is considerably lower than with one-parameter CFAR, without
any loss in target detection.
We also demonstrate that, for small false alarm probabilities, the
original segmentation yields nearly all the detections achieved by
segmentation-based target detection.
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