IHS变换域的遥感图像NSCT融合算法

针对非采样Contourlet变换(NSCT)在多光谱图像与全色图像融合时复杂度较大的问题,提出一种IHS变换域的多光谱图像与全色图像NSCT融合算法.该算法首先对多光谱图像进行IHS变换,然后再将强度分量图像与全色图像进行基于NSCT的融合,得到新的强度分量,最后再做IHS逆变换得到融合图像.实验结果表明,将IHS变换与NSCT相结合,有效地减少了融合计算量.另外与小波变换、Contourlet变换、NSCT等多分辨率分析的遥感图像融合算法相比,该算法还有效地减少了融合图像的光谱扭曲,提高了融合图像的视觉效果.

Remote sensing images fusion using non-subsample Contourlet transform based on IHS transform

With regard to the difficult problem in the fusion of multispectral and panchromatic images using the non-subsample Contourlet transform(NSCT),a fusion method using the NSCT in the IHS(intensity-hue-saturation) transform domain was proposed.Firstly,the IHS transform of the multispectral images was made.Then the new intensity components were obtained by the fusion of intensity component images and panchromatic images based on the NSCT.After that,the fusion images were obtained by use of the inverse IHS transform.The test results indicate that the combination of the IHS transform with NSCT saves more time,and the proposed method can improve the visual effect of the fused images and decrease the aberrance of the spectra compared with other methods based on the multi-resolution analysis,such as the discrete wavelet transform,the Contourlet transform,the NSCT.