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Proceedings Article

Segmentation-based target detection in SAR

[+] Author Affiliations
Ian McConnell

N.A.Software, Ltd. (United Kingdom)

Christopher J. Oliver

Defence Evaluation and Research Agency Malvern (United Kingdom)

Proc. SPIE 3869, SAR Image Analysis, Modeling, and Techniques II, 45 (December 10, 1999); doi:10.1117/12.373158
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From Conference Volume 3869

  • SAR Image Analysis, Modeling, and Techniques II
  • Florence, Italy | September 20, 1999

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.

© (1999) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Ian McConnell and Christopher J. Oliver
"Segmentation-based target detection in SAR", Proc. SPIE 3869, SAR Image Analysis, Modeling, and Techniques II, 45 (December 10, 1999); doi:10.1117/12.373158; http://dx.doi.org/10.1117/12.373158


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