基于提升机制小波变换的SAR与多光谱图像融合算法

在对提升机制小波变换的原理和特点研究的基础上，结合SAR图像与多光谱图像不同成像特性，提出了一种基于提升小波变换区域融合的SAR与多光谱图像融合方法。对于小波变换后的高频子图像，选择区域标准差大的作为融合后的子图像；对于低频子图像，定义区域均值的平均相对偏差作为阈值，融合子图像区域均值偏差大干阈值时，采用逻辑滤波方法融合，反之采用基于像素值加权、平均的融合规则。实验证明，该算法能够有效融合SAR与多光谱图像之间的互补信息，与其它用于图像融合的小波变换方法相比，运筹速度较快，易于DSP实现。

Fusion Algorithm of SAR and Multi-spectral Images Based on Lifting Scheme Wavelet Transform

The paper presents a region-fused image fusion algorithm, according to the different imagery characteristic between the SAR and multi-spectral images based on studying the lifting scheme wavelet transform. The details selected are based on maximum standard deviation of the detail coefficients for each sub band. For approximation, the average deviation of the regional mean as a threshold is proposed, if the regional mean deviation about the approximation coefficients for each sub band is higher than the threshold, a logical filter fused rule is employed, else a weighted average fused rule is applied and the weighted coefficients are given by the approximation coefficients. The experiment result shows the algorithm effectively fused the complementary information of SAR and multi-spectral images and it is easy to be realized in DSP compared with other wavelet transform.