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《Journal of Anhui Agricultural Sciences》 2009-07
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Application of Object-oriented Approach in the Spot5 Image Land Classification

ZHU Chun-hua et al(Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101)  
Combining with the remote sensing data of BeijingHangzhou Grand Canal in Shandong fused by multi-spectral and panchromatic SPOT5 data,the ground objects were classified by using object-oriented approach.And it was compared with the results by using the traditional pixel-oriented classification methods.The results indicated that the approach had a higher accuracy,efficiency and effect and it could meet the demands of the protection,layout and detection of Beijing-Hangzhou Grand Canal.
【Fund】: 国家科技支撑计划资助(2006BAK30B01)
【CateGory Index】: S127;S159.2
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