基于IHS变换与直方图匹配法的遥感影像融合

Fusion Mutispectral and High Resolution Image Using IHS Transform and Histogram Equilibrium

针对 IHS变换法 (彩色空间变换法 )对多光谱图像和高分辨图像进行融合会丢失较多的光谱信息 ,称之为光谱扭曲 ,文中研究并实践了一种新方法 ,该方法利用直方图匹配的方法来解决光谱特征扭曲的问题 ,经过直方图匹配处理后的高分辨图像和多光谱图像的光谱强度分量具有较强的相关性 ,经 IHS反变换后可以得到具有较好空间分辨率和光谱信息的融合图像 .文中以 TM图像和 SAR图像融合为例进行分析 ,其结果表明 ,该方法得到的融合图像优于传统的 IHS变换法 .

Fusing mutispectral image and high resolution image by using IHS transform will lose some spectral information. A new technique is developed for the data fusion of two images to reduce the spectral information losing. The intensity component of high resolution image is modified on the basis of intensity component of mutispectral image by means of histogram equilibrium. Then gets the result image by using inverse IHS transform. Experimental comparisons show that the method proposed in this paper performs better in perserving spatial resolutions and color content than those of traditional IHS transform technique.