基于曲波变换的遥感图像融合研究

以SAR与可见光图像、多光谱与全色图像为研究对象,提出了一种基于曲波变换的遥感图像融合方法.首先将图像进行曲波变换,然后在不同的频率域利用融合规则融合曲波系数,最后通过重构得到融合图像.采用均方误差、偏差指数等指标对融合效果进行了客观评价,并与基于小波变换的融合进行了比较.实验结果表明,该方法在保留原始图像重要信息、抑制噪声能力方面均优于小波变换方法.

Remote sensing image fusion based on curvelet transform

Compared with wavelet,Curvelet has much better identification ability of directions,so it is more appropriate for the analysis of the image edges such as curve or line characters than wavelet.When introducing curvelet transform to remote sensing image fusion,we can take the characteristics of original images well,The ability of noise suppression is also better than wavelet transform.So the method of curvelet transform based image fusion is proposed.Firstly,the original images are decomposed using curvelet t...