期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B7
页码：1155-1158
出版社：Copernicus Publications
摘要：On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages ——higher spatial resolution can be acquired from the PCA transformation; however, more serious distortion of spectral characteristics can happen as well. While, the àtrous wavelet transformation is able to preserve spatial information; however, the result is lack of high spatial resolution. A new technique, based on additive wavelet decomposition and PCA transformation was developed for the merging and data fusion of such images in this paper. Firstly we must get a fusion image by using the PCA transformation to merge the multispectral image and the high-resolution panchromatic image. Then we get the new principle components for the new multispecral image, while greatly parts of data information is included in the first component of the fused image. And then we apply the atrous wavelet merger to merge the multiresolution image and the first component of the fused image by PCA merger which substituted of the high-resolution panchromatic image. The new method is capable of preserving its spectral content while enhancing the spatial quality of the multispectral image to a greater extent
