SAR imagery segmentation using probabilistic winner-take-all clustering
نویسندگان
چکیده
This paper applies a recently-developed neural clustering scheme, called "probabilistic winner-take-all (PWTA)", to image segmentation. Experimental results are presented. These results show that the PWTA clustering scheme signiicantly outperforms the popular k-means algorithm when both are utilized to segment a synthetic-aperture-radar (SAR) image representing ship targets in an open-ocean scene.
منابع مشابه
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تاریخ انتشار 1996