文章基本信息

标题：Applications of 2DPCA in Remote Sensing Image Fusion
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作者：Wu Xueming ; Li Cangping ; Yang Wunian 等
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：2009
卷号：XXXVIII-7/C4
页码：290-297
出版社：Copernicus Publications
摘要：2DPCA is introduced in remote sensing image fusion, and three forms of 2DPCA-based remote sensing image fusion method are proposed according to the different evaluation methods of the projection vector, including 2DPCA, L2DPCA and D2DPCA algorithms. In the paper, the new image fusion techniques are applied in multi-source remotely sensed image fusion in contrast to PCA, IHS, Brovey and Wavelet algorithms, and then qualitative and quantitative analysis were given on the approaches. Experimental results show that the performance of 2DPCA, L2DPCA and D2DPCA image fusion algorithms outperforms PCA, IHS, Brovey and Wavelet from the point of view of the quality and performance of the fused images. This proves the validity and effectiveness of the new algorithms. The most outstanding advantage of 2DPCA, L2DPCA and D2DPCA fusion algorithms is that they can effectively utilize the two-dimensional structure information of the images, so that they can not only enhance the entropy of the fused images and better improve the spatial resolution of those, but also preserve good spectral information of the lower resolution images
关键词：Image Fusion; Remote Sensing; 2DPCA; L2DPCA; D2DPCA