一种基于小波变换的多传感器图像融合优化方法

文中针对小波变换在进行高分辨率图像和多光谱图像融合时，不能同时保持空间信息及光谱信息的问题，提出了一种优化的小波变换图像融合算法。它将高空间分辨率图像和多光谱图像经小波变换后的低频、高频分量先分别进行增强，然后再进行融合，优化了传统的基于小波变换融合方法。并且通过对同一场景的SAR图像和TM图像的融合实验，证明了该算法在有效地保留原图像光谱信息的同时，也很好地保持了空间细节。

An Optimal Algorithm of Multi-sensor Image Fusion Based on Wavelet Transform

This paper proposes a wavelet based optimal algorithm for image fusion. The algorithm aims at solving problem of preserving spatial and spectrum information at the same time. First it enhances respectively low frequency of multi spectral image and high frequency of high resolution image through wavelet transform. Then, it fuses them. So this approach optimizes traditional wavelet transform fusion method. Through the experiment merging images data of different SAR and TM image to the same object from different resolution images data, the result shows this approach reduces blocking effects while holding actively spectrum information. It provides a more satisfactory fusion outcome.