Sar Imagery Segmentation Using Probabilistic Winner-Take-All Clustering

ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY III（1996）

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摘要

This paper applies a recently-developed neural clustering scheme, called "probabilistic winnertake-all (PWTA)", to image segmentation. Experimental results are presented. These results showthat the PWTA clustering scheme significantly outperforms the popular k-means algorithm whenboth are utilized to segment a synthetic-aperture-radar (SAR) image representing ship targets inan open-ocean scene.Keywords: image segmentation, SAR imagery, clustering, artificial neural networks1 INTRODUCTION...

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image segmentation, SAR imagery, clustering, artificial neural networks

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