文章基本信息

标题：The Study on Image Fusion for High Spatial Resolution Remote Sensing Images
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作者：S.S. Han ; H.T. Li ; H.Y. Gu 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：2008
卷号：XXXVII Part B7
页码：1159-1164
出版社：Copernicus Publications
摘要：Remote sensing images fusion can not only improve the spatial resolution for the original multispectral image, but also preserve the spectral information to a certain degree. In order to find out the fusion algorithm which is suited for QuickBird images fusion, four simple fusion algorithms, Multiplication (MLT), Modified Brovey (MB), High-Pass Filter (HPF) and the Smoothing Filter-based Intensity Modulation (SFIM) algorithm have been employed for result evaluation. The study is based on a QuickBird sub-scene covering different land use. Numerical statistical methods such as Bias of Mean, Correlation Coefficient, Entropy, Standard Deviation and Average Grads are used to quantitatively assess the fused images produced using the above algorithms. The analysis indicates that the SFIM-fused image has the best definition as well as spectral fidelity, and is the best in high textural information absorption. Therefore it is suited for QuickBird image fusion best
关键词：Remote Sensing; Image Fusion; Image Evaluation; Multiplication; Modified Brovey; High-Pass Filter; Smoothing ; Filter-based Intensity Modulation