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Otsu Threshold Comparison and SAR Water Segmentation Result Analysis |
An Cheng-jin Niu Zhao-dong Li Zhi-jun Chen Zeng-ping |
ATR Key Lab, National University of Defense Technology, Changsha 410073, China |
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Abstract Water shows low gray level and small wave from remote sensing images. As the fastest segmentation algorithm, 1D Otsu is used for Synthetic Aperture Radar (SAR) image segmentation. Level relation between multilevel Otsu and recursive Otsu is proved, and the evaluation of segmentation results is proposed, then quantitative comparison is given using SAR image. Results show that multilevel Otsu has better outline of water region, and can be used for SAR auto bridge recognition and scene matching.
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Received: 04 November 2009
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Corresponding Authors:
An Cheng-jin
E-mail: anchengjin@gmail.com
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