基于ARSIS概念的遥感影像小波包融合

研究了基于ARSIS概念的遥感影像的小波包融合方法。利用小波包分解高分辨率影像和多光谱影像,在融合影像的低频小波包系数重构时采用波段间交互构建模式,即包含了多光谱影像低频小波包系数,也包含了高分辨率影像低频小波包系数。融合影像的高频小波包系数以局部方差为规则进行择优选取。融合实验结果证明,新方法在对原多光谱影像信息的保持上优于IHS方法,同时在保持高分辨率影像的细节信息上有所改善。

Based on ARSIS Concept Remote Sensing Image Wavelet Packet Fusion

The paper has researched the remote sensing image wavelet packet fusion based on the ARSIS concept.The high spatial resolution image and multi-spectral image were decomposed by wavelet packet.The inter-band structure model was applied to reconstruct fusion image approximation wavelet packet coefficient,which comprised approximation wavelet packet coefficient of multi-spectral image and high spatial resolution image.Fusion image wavelet packet details coefficients were selected based on local variance.Fusion experimental results showed that the new method was superior to the IHS in keeping multi-spectral image information,while the information details of high spatial images were improved.