一种基于非降采样Contourlet变换的遥感图像融合方法

给出了一种非降采样Contourlet变换和HIS变换相结合的遥感图像融合算法.非降采样Contourlet变换是一种平移不变的小波变换方法,且具有良好的方向选择性,其对图像做多分辨率分析得到的高频子带,有效地表达了图像中的细节特征信息.结合HIS变换,非降采样Contourlet变换将细节注入到多光谱图像得到的融合图像,不但具有较高的空间分辨率,而且有效保持了多光谱图像的光谱特征.实际的SPOT全色图像和TM多光谱波段融合结果表明,所提议方法的性能优于目前广泛使用的小波域方法如离散小波变换和A Trous小波变换以及Contourlet变换等融合方法.

A New Method for Remote Sensing Image Fusion Based on Nonsubsampled Contourlet Transform

A new method for remote sensing image fusion based on Non Subsampled Contourlet Transform(NSCT) is presented.The NSCT is a shift-invariant directional wavelet transform approach.Multiresolution analysis of the image results in several high-pass subbands representing efficiently the detailed information of the image.Combined with the HIS transform,NSCT injects details into multispectral images.Therefore,the merged images obtained from NSCT not only has high spatial resolution but also keeps the high fidelity of spectral characteristics.Experimental results for Real SPOT panchromatic image and TM multispectral images show that the performances of proposed method are better than recently wide-used wavelet domain methods,such as Discrete Wavelet Transform,A Trous Transform and Contourlet Transform,etc.