不同光谱与空间分辨率遥感图像融合方法的理论研究

Comment on Fusion Theory for Different Spatial and Spectral Remote Sensing Images

多源遥感图像的融合处理是提高已获取同一目标影像的光谱和空间分辨率的重要手段,它可以增强多重数据分析处理能力,为大规模遥感应用研究提供一个良好的基础。对目前国内外现有的理论研究方法作了总结,将其分为像素级、特征级和决策级融合3大类型,分别进行了详细的阐述,同时引用具体研究成果对一些方法作了对比。最后,提出了该领域未来的主要研究与发展方向以供讨论。

Multi\|source remote sensing images fusion is an important method to acquire a higher spatial and spectral image resolution of the same object and can also provide a better tool for its application. Some different fusion methods are reviewed in this paper, they are classified into pixel\|level, feature\|level and decision\|level three categories, all of which are explored in detail respectively and compared each other. Finally, future trends are put forward for discussion.