一种基于对应分析的WorldView-2遥感图像融合算法

An Effective Pansharpening Algorithm Based on Correspondence Analysis for WorldView-2 Imagesc

文章针对新型WorldView-2遥感图像提出了一种基于对应分析的全色光与多光谱图像融合新算法。该算法利用对应分析将八波段多光谱图像变换至成分空间,然后通过成分图像将全色光图像的空间细节信息注入成分空间,经反变换后得到融合结果。实验结果表明,该算法在融合World-View-2遥感图像时能够在提高空间分辨率和保持光谱信息方面达到较好的平衡,优于现有的几种融合算法。

Sections 1 and 2 of the full paper explain our algorithm mentioned in the title, which we believe is new and effective and whose core consists of： （ 1 ） it employs correspondence analysis to transform the 8-band multispec- tral data into the component space; （2） the ,spatial details of panchromatic image are injected into the space with muhispectral data decomposed into sub-images; （3） the fused results are obtained as a single inverse transform. The experimental results, presented in Fig. 3, and their analysis show preliminarily that our algorithm produces in- deed a better trade-off between the spatial resolution enhancement and the spectral information preservation than some existing fusion algorithms.