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《Science of Surveying and Mapping》 2010-01
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Qualitative spectrum feature matching based on the theory of scale space

LIU Wei,YANG Tian-ke,ZHENG Ming-qing,ZHAO Bao-qiang(Xi'an Information Technology Station of Surveying and Mapping,Xi'an 710054,China)  
Through observing the fine spectral information which is included in hyperspectral remote sensing data with the theory of scale space,the paper extracted qualitative constraint features that under specific scale.These features can distinguish the attribute of object class.Combining with spectrum similarity measure,the pixel class can be determined.Test result indicated that this method can efficiently reduce the problems of miscarriage of justice from noise and environment of imaging and distinctly increase the precision of classification and discrimination.
【CateGory Index】: TP751.2
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