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《Science of Surveying and Mapping》 2014-01
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Improved RBF neural network RS image classification algorithm based on kernel clustering

WANG Meng-qiu;WAN You-chuan;LI Gang;School of Remote Sensing and Information Engineering,Wuhan University;  
The purpose of this article is to enhance the classification performance of RBF neural network on remote sensing images by applying an improved algorithm based on kernel clustering.An experiment was conducted on the SPOT image of Wuhan.Comparison of the classification results between the improved algorithm with the traditional RBF neural network indicated that the improved method has a higher overall accuracy and Kappa coefficient than the traditional method.
【Fund】: 国家支撑项目(2012BAH34B02 2012BAJ15B04 2011BAH12B03)
【CateGory Index】: TP751;TP183
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