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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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【Citations】
Chinese Journal Full-text Database 1 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 WEI Qiufang1,2, YE Qinghua1,3 (1. Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, CAS, Beijing 100085, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing 100101, China);Review of Lake Ice Monitoring by Remote Sensing[J];Progress in Geography;2010-07
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