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《Geospatial Information》 2012-02
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Comparison of River Ice Detection Capabilities of Different RVM Kernel Function

WANG Chunguan  
In this paper we presented a river ice detection method based on relevance vector machines(RVM) use HJ-1A/1B CCD data,and compared ice detection accuracy of the different kernel functions.Experimental results clearly demonstrated that RBF kernel function was more stabile than adapted RBF kernel,detection accuracy of RBF kernel function was slightly higher than adapted RBF kernel,however the sparsity of adapted RBF kernel was higher than RBF kernel function which lead to much faster testing time.
【CateGory Index】: P332.8
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1 YAN Junjie 1 LIU Liangming 1 MA Haolu 2 XU Zhihui 2 (1 School of Remote Sensing and Information Engineering, Wuhan University,129 Luoyu Road, Wuhan 430079, China) (2 Information Center of Yellow River Conservancy Commission, 112-1 Chengdong Road, Zhengzhou 450004, China);Application of MODIS Data on the Ice Folld Monitoring of Yellow River[J];Editorial Board of Geomatics and Information Science of Wuhan University;2004-08
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