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《Science of Surveying and Mapping》 2008-01
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A study on image fusion by Trous wavelet and IHS translation based on Local energy rule

CHENG San-sheng, YANG Ying-bao,LI Yan-wen(Department of Surveying and Mapping of Civil Engineering Institute, Hohai University, Nanjing, 210098, China)  
With the increase level of traditional wavelet decomposition, the correlation of fused image with original multispectral image is lower inevitably, and even small objects are difficult to obtain color information.With the emergence of high revolution images such as IKONOS, the traditional methods are not satisfied for higher interpretation required.Based on this phenomenon, this paper presents a new method that combines local energy fusion rule with traditional Trous and IHS integrated algorithm to fuse the IKONOS image, and compares it with traditional Trous algorithm as well as traditional Trous and IHS integrated algorithm.The results indicate that the new method can increase the correlation and decrease the spectral warping degree on greater intensity, and also improve the recognition capacity for small objects.
【CateGory Index】: TP751
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