Segmentation-based target detection in SAR

Ian McConnell; Christopher John Oliver

doi:10.1117/12.373158

10 December 1999 Segmentation-based target detection in SAR

Ian McConnell, Christopher John Oliver

Proceedings Volume 3869, SAR Image Analysis, Modeling, and Techniques II; (1999) https://doi.org/10.1117/12.373158
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

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

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