一种改进的遥感图像融合方法

An improved remote sensing image fusion method

针对传统的IHS变换和Mallat算法在融合多光谱图像和高空间分辨力图像时存在的不足,提出了一种将IHS变换和平稳小波变换相结合的遥感图像融合方法;另外,对多光谱图像和高空间分辨力图像因空间分辨力的不同而带来的融合图像中所存在的虚假轮廓问题,提出在融合过程中先定位虚假轮廓出现的位置,然后加以处理的方法。仿真结果表明,本文算法在光谱失真上小于IHS变换法,克服了Mallat算法存在的方块效应,同时较好的抑制了虚假轮廓。

In view of the shortcomings of traditional IHS transform and Mallat algorithm in fusing the multi-spectral image and high resolution spatial image, an improved remote sensing image fusion algorithm which combined the IHS transform and stationary wavelet transform was proposed, In addition, illusive contour was obvious when the resolution between the multi- spectral image and high resolution spatial image is different. The position of illusive contour was determined firstly, and then a method was used to eliminate the illusive contour. The proposed method is proved to be more effective in preserving the spectral resolution and improving the spatial resolution than the traditional IHS transform and Mallat algorithm, The illusive contour is well eliminated by our method.