【摘要】 鉴于小波变换分析方法在图像处理与图像融合中具有广阔的应用前景,为了获得更好的图像融合效果,首先介绍了图像数据小波分解与重构的基本方法,然后从理论上阐述了具有广义线性相位的双正交小波基的优点,最后通过小波变换与HIS变换的有机结合实现了图像融合。融合后的影像不仅仍然保持了地物的光谱信息,而且保留了高空间分辨率全色波段影像细节清晰的特点。实验结果表明,基于双正交小波变换的多分辨率遥感图像数据融合技术是提高卫星遥感影像解像力的一个重要手段。更多还原

【Abstract】 In consideration of the case that wavelet transform analysis means has been applied extensively in image processing and image fusion, in order to obtain better fusion effect of image, This paper first presents basic approach of wavelet decomposition and reconstruction of image, then theoretically expounds the merits of biorthogonal wavelet based with general linear phase, last realizes image fusion by combining wavelet transform with HIS transform. Furthermore, the author applies the method mentioned above to data fusion of multi spectral Remote Sensing (RS) image. By organically connecting wavelet transform with HIS transform, the fusion image can not only comprise spectral information of ground objects, but also reserve panchromatic band’s clear details of high spatial resolving power of RS image. The experimental result shows that data fusion approach of multi resolving power of RS image based on biorthogonal wavelet transform is an important means to improve image interpreting power of satellite RS image.更多还原