Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (28): 170-174.DOI: 10.3778/j.issn.1002-8331.2010.28.048

• 图形、图像、模式识别 • Previous Articles     Next Articles

Data fusion and application of reservoir monitoring in the Three Gorges of the Yangtze River

XU Li-na,NIU Rui-qing   

  1. Institute of Geophysics and Geomatics,China University of Geosciences,Wuhan 430074,China
  • Received:2009-06-25 Revised:2009-08-21 Online:2010-10-01 Published:2010-10-01
  • Contact: XU Li-na

数据融合提取长江三峡库岸信息及质量评价

许丽娜,牛瑞卿   

  1. 中国地质大学(武汉) 地球物理与空间信息学院,武汉 430074
  • 通讯作者: 许丽娜

Abstract: This paper applies several image fusion methods which include Brovey,HIS,PCA and wavelet transform on CBERS 02 CCD data and Beijing-1 high resolution image data in the Three Gorges of the Yangtze River.The outcome images which have the same multispectral information with the CBERS 02 CCD images have a higher resolution just like the Beijing-1.In order to assess the image fusion,visual interpretation is done at first.Then various evaluation parameters of fusion effect and histogram are acquired quantificationally.

Key words: data fusion, Beijing-1 micro satellite, evaluation parameters, reservoir monitoring

摘要: 利用北京一号高分辨率数据与中巴地球资源卫星02星CCD数据进行融合研究长江三峡库岸信息识别方面的应用。通过进行Brovey融合、主成分分析融合、IHS融合和小波变换融合的比较与分析表明:融合后的影像很好地保留了高分辨率影像的空间信息,同时加强了多光谱的信息,有利于库岸信息的识别和监测。最后为了对比各种融合方法,运用直方图分析和多种融合评价因子对各种融合方法进行了客观定量评价。

关键词: 数据融合, 北京一号, 评价因子, 库岸信息识别

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