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《Journal of Shandong University of Science and Technology(Natural Science)》 2007-05
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Mergence of Remote Sensing Images Based on the Wavelet and MNF Transformations

LI Hai-tao1,GU Hai-yan1,2,LIN Hui3,HAN Yan-shun1 ,YANG Jing-hui1(1.Research Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing 100039,China;2.College of Surveying and Geographic Science,Liaoning Technical University,Fuxin,Liaoning 123000,China;3.College of Surveying and Mapping,Xuzhou Normal University,Xuzhou,Jiangsu 221116,China)  
As the high-resolution remote sensing satellite has emerged,it is very difficult for the traditional image mergence techniques to get good mergence results.For example,the mergence method with principal component analysis(PCA) transformation is more sensitive to the noise and limited by the mergence region.But,the method with the minimum noise fraction(MNF) transformation is a self-contained component analysis method,with the effect of noise and mergence region considered.The wavelet transformation(WT) mergence also,to some extent,brings color distortion.Therefore,on the basis of the MNF and WT analyses,a new remote sensing mergence method integrated wavelet with MNF transformation is studied where IKONOS multi-spectral image and panchromatic image are used in the paper.The results demonstrate that the new method could get better mergence effect by visually and quantitatively comparing with other mergence methods.
【Fund】: 国家重点基础研究发展计划973项目(2006CB701303);; 国家测绘局地理空间信息工程重点实验室基金项目(200729)
【CateGory Index】: TP751
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