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《Science of Surveying and Mapping》 2004-06
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Research on model of remote sensing image information fusion based on feature

FU Wei,XING Guangzhong,HOU Lantian,WANG Wenjun(Department of Communication & Electronic Engineering of Information Institute,Yanshan University,Qinhuangdao 066004,China)  
The image feature fusion is a kind of data fusion that is based upon spectral structure and texture feature of the objects. This paper proposes feature fusion approach after enhancing Remote Sensing (RS) image edge with wavelet's multiresolution analysis,and largely improve image's definition and resolving power. In the fusion process, instead of using the conventional HISWavelet fusion, the author used low frequent parts of the R,G,B bands of the multispectral image which is decomposed by the wavelet and high frequent parts of the highresolution image which is also decomposed by the wavelet to do the image fusion separately, and finally the new fusion image is composed by the new R,G,B bands. In this way, the methodology not only improves the definition and resolution of the multispectral image, but also retains the color feature which is important for multispectral fusion. At last the author validates the conclusion mentioned above with an experiment.
【Fund】: 国家自然科学基金资助项目(69662001)
【CateGory Index】: TP752.4
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