A remote sensing image fusion method based on PCA transform and wavelet packet transform

Abstract

In this paper, a Remote-sensing image fusion method based on PCAT and WPT is studied. Firstly, the multi-spectral image is transformed with PCAT, then, we can obtain three principal components; Secondly, the first principal component of the multi-spectral image and the panchromatic image are merged with WPT-based fusion method and the former is replaced with the merged data; Finally, the new multi-spectral image is obtained by inverse PCAT. Some evaluation measures are suggested and applied to compare our new method with those of PCAT-based fusion method, IHST-based one, and WT-based one. Visual effect and statistical parameters indicate that the performance of our new method is better than those. It not only preserves spectral information of the original multi-spectral image very well, but also enhances spatial detail information of the fused image greatly.