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Proceedings Paper

Segmentation-based target detection in SAR
Author(s): Ian McConnell; Christopher John Oliver
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Paper 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 smaller false alarm probabilities, the original segmentation yields nearly all the detections achieved by segmentation-based target detection.

Paper Details

Date Published: 10 December 1999
PDF: 10 pages
Proc. SPIE 3869, SAR Image Analysis, Modeling, and Techniques II, (10 December 1999); doi: 10.1117/12.373158
Show Author Affiliations
Ian McConnell, N.A.Software, Ltd. (United Kingdom)
Christopher John Oliver, Defence Evaluation and Research Agency Malvern (United Kingdom)

Published in SPIE Proceedings Vol. 3869:
SAR Image Analysis, Modeling, and Techniques II
Francesco Posa, Editor(s)

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