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Classification of Remote Sensing Image Based on Multi-parameters of Land Surface |
CAO Li-qin1,LI Ping-xiang2,ZHANG Liang-pei2,CEN Yi3 |
1.School of Painting and Packing,Wuhan University,Wuhan 430079,China;2.State Key Laboratory of Information Engineering in Surveying,Mapping and
Remote Sensing of Wuhan University,Wuhan 430079,China;3.Changjiang River Scientific Research Institute,Wuhan 430010,China |
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Abstract The land cover characteristic is the important parameter of land surface information,which is the essential factor to understand the change temporal-spatial information of land surface.In this paper,the method of classification based on multi\|parameters of land surface was proposed.The data of the experimenter was Landsat ETM+ image of Wuhan.The Vegetation Index of Universal Pattern Decomposition (VIUPD),land surface temperature and the character of texture were carried.According to the method of Decision Tree,the image was classified in the consideration of the spectral and spatial information.The results demonstrated that the method of classification based on multi\|parameters of land surface was superior to traditional Decision tree based on the spectral reflectance and Supported Vector Machine (SVM).The accuracy of classification based on multi\|parameters of land surface was higher than that of the other algorithms.
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Received: 10 February 2009
Published: 04 November 2011
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