结合方向小波的多光谱与全色遥感图像融合算法

针对现有的遥感图像融合算法所得融合图像存在边缘清晰度不高与光谱保持能力较差等问题,根据方向小波变换的高效性与方向选择性,提出了一种结合方向小波的多光谱与全色遥感图像融合算法。该算法采用人眼的视觉特性首先对待融合图像进行预处理,并根据小波变换的分解特性,对低频子带小波系数采用基于能量比的图像融合规则,而对高频子带则采用基于纹理一致性的融合规则。实验结果表明:该算法能够在保留多光谱图像信息的基础上,得到清晰度较高的融合图像,其中对中等分辨率图像的融合处理效果最佳。

Multi-spectral and Panchromatic Remote Sensing Image Fusion Algorithm based on Directional Wavelet

Existing remote sensing image fusion algorithm has not high and poor ability of the fused image resalution to keep the spectral characteristics.So according to the disrectional wavelet transform the efficiency and direction selectivity,this paper proposed a multi\|spectral and panchromatic remote sensing image fusion algorithm based on directional wavelet.The proposed algorithm was preprocessing the images that were used for the human visual characteristics.And this algorithm was according to the wavelet decomposition characteristics.Using the Fusion rules based on energy ratio to deal with the wavelet coefficients of the low\|frequency sub-band.And it was using Fusion rules based on textures consistency to deal with the wavelet coefficients of the high\|frequency sub\|band.Experimental results show that this proposed algorithm can get the higher\|resolution image fusion reserve the multispectral image information at the same time.And it can get the best results when processed the medium-resolution remote sensing image.