基于平稳小波变换的遥感图像融合方法

A Remote Sensing Image Fusion Method based on Stationary Wavelet Transform

针对目前方法在多光谱图像和高分辨率图像融合中存在的问题,提出了一种IHS交换和平稳小波变换相结合的图像融合方法。首先对多光谱图像进行IHS变换后,得到I、H和S三个分量,接着对I分量和高分辨率图像进行基于平稳小波变换的图像融合,得到一幅新的强度图像,最后用新的强度图像和H及S进行IHS反变换,进而获得最终融合图像。实验表明,它优于传统的IHS变换法和小波变换法。

Image fusion has a wide application in remote sensing, medical imaging and military applications. A new image fusion algorithm is presented,which combines the IHS transform with stationary wavelet transform,to overcome the problem of current algorithms in merging the high-resolution image with the multi-spectral image. The IHS transform is used to convert the multi-spectral image to the Intensity ,the Hue and the Saturation components. The high-resolution image and the intensity component are merged using the stationary wavelet transform-based fusion method and the new intesity component is derived,and the fused image can be obtained by inverse IHS transform finally. The developed algorithm is verified better than the traditional IHS transform and wavelet transform.