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《Geo-Information Science》 2008-01
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Analysis of Pixel-level Remote Sensing Image Fusion Methods

LI Junjie1,HE Longhua2,DAI Jinfang2,LI Jinlian3(1 China Center for Resources Satellite Data and Application,Beijing 100073,China;2 Nanjing Institute of Geography and Limnology,CAS,Nanjing,Jiangsu 210008,China;3 Nanjing Xiaozhuang University,Nanjing,Jiangsu 210007,China)  
Different remote sensing images have their own virtues and limits;and image fusion is designed for completely using their virtues to compose new images.Three methods-PCA,Brovey and wavelet transform are used to fuse the SPOT multispectral data and the panchromatic data on the pixel-level.The wavelet transform used the Mallat's algorithm and biorthogonal wavelet function,the virtue of the latter is that the function will not distort the image when the reverse wavelet transform is performed.The fusion results are evaluated both qualitatively and quantitatively in the aspects of spectral and spatial quality;the results show that the best method of the three is wavelet transform.The wavelet transform method makes the fusion image preserve both the spatial quality of the pan image and spectral quality of the multispectral image,while the other two methods make the fusion images to distort the spectral quality of the multispectral image.At the same time,the influences of different wavelet functions used in the Mallat's algorithm on the related fusion image are compared.Different wavelet functions result in differences in reserving the spectral and spatial quality of the fusion image.If we use the biorthogonal wavelet transform to fuse image,we can select the proper wavelet basis function for the practical demand(the compromise between high spatial detail and high spectral quality preserve).
【Fund】: 中国资源卫星应用中心项目;; 扬州市主要农作物长势监测、中国科学院知识创新工程项目(INF105-SDB-1-22)联合资助
【CateGory Index】: TP751
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