特征量积和IHS变换的多源遥感图像融合方法

以高空间分辨率的SAR图像和高光谱分辨率的TM图像为例,提出了一种基于特征量积和IHS变换的多源遥感图像融合方法.该方法首先对TM图像作IHS变换,得到亮度I、色度H与饱和度S三个分量;其次,依据特征量积准则融合TM图像的亮度分量和SAR图像,并用融合结果替代TM图像的亮度分量;最后,作IHS反变换得到融合图像.实验结果表明,与IHS法和小波变换法相比,方法快速、简洁,在保持光谱信息与增强空间细节信息两个方面的综合性能均得到提高.

Multi-source Remote-sensing Image Fusion Method based on Feature Product and IHST

This paper takes merging SAR image and TM image as an example to presents a new remote-sensing fusion method based on Feature product and IHS transform.Firstly,the TM image is transformed by IHS transform,and I,H and S components are obtained.Secondly,the SAR image and I component of the TM image are merged with Feature product-based fusion method,and I component is replaced by the merged data.Finally,the fusion image is obtained by inverse IHS transform.The experimental result indicates that the new method is fast and compact,and it enhances spatial detail information of the fusion image largely and preserves spectral information of the original TM image well.