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《Science of Surveying and Mapping》 2009-01
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The classification of SVM based on the multi-scale texture information and spectral information

CHEN Chen,ZHANG You-jing(School of Civil engineering,Hohai University,Nanjing 210098,China)  
It is difficult for classification based on spectral data to obtain satisfactory results.The paper adopted the classification of SVM combined with multi-scale texture data and spectral data to classify the image of IKONOS.It shows that SVM classification combined with multi-scale texture data and spectral data can character the textures precisely.The accuracy of which is 83.9%.And compared with the classification of max-like and the classification of SVM based on single-scale texture data and spectral data,the accuracy has improved 13.8% and 4.9% separately.It is proven that the method can improve the accuracy of high resolution image classification.
【CateGory Index】: TP751
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