一种基于小波变换的图象融合算法

基于多分辨率小波变换的融合算法近年来得到了广泛的应用。为了充分利用各种遥感图象的信息中，针对“资源一号”卫星图象和SPOT全色波图象，提出了一种新的基于区域能量特征的小波变换复原-增强融合算法。通过同IHS、PCA和HPF几种传统融合方法的比较和结果评价，证明该方法在提高“资源一号”卫星图象空间分辨率的同时，还较好地保留了多光谱图象的光谱信息，并且有效地克服了“资源一号”卫星图象模糊的特点。

A Wavelet Transform-Based Image Fusion Method

Wavelet transform based image fusion method have been used broadly these years. In this article, in order to adequately make use of all kinds of remote sensing images' information, it puts forward a new energy based wavelet fusion method which also uses image restoration and enhancement model to merge the images of CBERS 1(China Brazi1 Earth Resource Satellite) and SPOT PAN(Systeme Pour 1'Observation de la Terre Panchromatic) image. Image restoration technique can both increase image acutance and improve image quality. By processing CBERS 1 imgae with image restoration technique, we can not only overcome the blurred image disadvantage, but also improve the fusion result image's quality finally. Compared with the result of IHS?PCA and HPF traditional fusion methods, it is proved that this method can get a perfect result for the application aim of "enhancing the result image's spatial resolution with preserving spectral information and effectively overcome the blurred disadvantage of CBERS 1 image".