一种基于小波变换的遥感SAR图像与TM图像融合新算法

A New Remotely Sensed Image Fusion Method between SAR Image and TM Image Based on Wavelet Transform

以高空间分辨率的SAR图像和高光谱分辨率的TM图像为例,提出了一种基于小波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,依据特征量积和匹配度为融合准则,将TM图像的亮度分量和SAR图像进行融合处理,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,文中方法在增强空间细节信息的同时更好地保持了光谱信息,与IHS法和小波变换法相比,证明了文中方法的有效性。

This paper takes merging SAR image and TM image as an example to present a new remote-sensing fusion method based on wavelet 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 and Match measure-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 effective, and it enhances spatial detail information of the fusion image largely and preserves spectral information of the original TM image well.