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：109-112
出版社：Copernicus Publications
摘要：How to greatly benefit form a variety of remote sensing data has become a bottle-neck problem in application of remote sensing. As an image has high spectral resolution, but relatively lower spatial resolution. Image fusion technology emerged as the times required, can highly enhance image quality by distilling and integrating information of several images, overcoming the limitations and differences of the single one in the geometry, spectrum and spatial resolution, etc. Lots of fusion methods were posed, but they more or less change the spectral information. To ameliorate this problem, this paper addresses a simple, fast, and efficient method SAO (Simple Arithmetic Operation). It just needs to take the multi-spectral and high-resolution panchromatic images carry out a simple arithmetic operation. SPOT5 XS+P images are used to assess the effectiveness of SAO method in comparison to IHS transform, Brovey transform, SSVR methods. Compared to other fusion methods, the images generated by SAO method have high spatial resolution while preserving the basic spectral characters of the original multi-spectral image
