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矿山遥感监测中QuickBird数据融合方法研究

THE FUSION METHOD FOR QUICKBIRD DATA IN MINE REMOTE SENSING MONITORING

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【作者】 褚进海彭鹏李郑贾丽萍

【Author】 CHU Jin-hai,PENG Peng,LI Zheng,JIA Li-ping(Geological Survey Institute of Anhui Province,Hefei 230001,China)

【机构】 安徽省地质调查院

【摘要】 运用Brovey、IHS、PCA和Pan Sharpening等变换方法对QuickBird影像进行融合,并从定性和定量角度对各种融合方法的效果进行评价。研究结果表明,Pan Sharpening融合方法不仅能增加地物的空间信息,而且还能较好地保持原始多光谱信息,是一种适合QuickBird数据的融合方法。

【Abstract】 The transformation methods such as Brovey,HIS,PCA and Pan Sharpening were employed to perform fusion of QuickBird images,and the effects of these fusion methods were evaluated qualitatively and quantitatively.The results show that the Pan Sharpening fusion method can not only increase the spatial information of surface features but also better reserve the original multispectral information.Hence the Pan Sharpening fusion method is a means suitable for the fusion of QuickBird data.

  • 【文献出处】 国土资源遥感 ,Remote Sensing for Land & Resources , 编辑部邮箱 ,2009年03期
  • 【分类号】TP751
  • 【被引频次】15
  • 【下载频次】304
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