Refined Sar Image Segmentation Algorithm Based On K-Means Clustering

2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR)(2016)

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Abstract
Study on SAR image segmentation based on K-means clustering. Analyzes and refined the adaptive moving K-means clustering algorithm by refined the adaptation degree function computation method which dividing the raw adaptation degree function by a direct ratio function of the sample number in clustering and presenting a new sample point separating rule on the clustering area which has the largest adaptation degree function. Millimeter SAR image segment results verify that the refined algorithm have better quality than K-means clustering algorithms in paper for city, road and bridge. Refined K-means clustering algorithm are more efficiency than the adaptive moving K-means clustering algorithm.
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Key words
synthetic aperture radar(SAR),image segmentation,clustering,K-means
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