摘要： 提出了一种新的基于lαβ空间的图像融合方法，该方法可以用来对低分辨率的多光谱图像和高分辨率的全色图像进行融合。该方法通过对多光谱图像和全色图像的融合，得到一幅融合后的图像，该融合后的图像集合了多光谱图像的光谱信息和全色图像的空间信息。实验结果表明该方法效果良好，优于传统的以及改进的IHS方法和PCA方法。

关键词: 图像融合, lαβ 空间, 小波分解

Abstract: This paper proposes an image fusion method based on lαβ space for merging a low-resolution multispectral image and a high-resolution panchromatic image. This image fusion method is designed to generate a fused image integrating the quality of both panchromatic and multispectral images: the high spatial resolution and the high spectral resolution. Experimental results indicate that the proposed method outperforms the IHS merger, PCA merger, improved IHS merger and improved PCA merger.

Key words: Image fusion, lαβ space, Wavelet decomposition

中图分类号: 

• Huang_wei@sjtu.edu.cn