摘要
针对遥感图像影像分辨率低的问题,提出了一种新的基于HIS和小波变换的低分辨多光谱和高分辨全色图像的融合方法。该方法通过对高分辨全色图像小波分解后的低频分量进行低通滤波,将全色图像的低频信息中的高频分量融入到多光谱图像HIS空间的亮度信息的低频中;再将这个融合后的低频和高分辨全色图像的细节信息进行小波反变换,得到融合后的图像。该图像很大程度地保留了多光谱的光谱特性和高分辨图像的空间分辨率。仿真结果表明了本方法的有效性。
A new method was presented based on HIS transform and wavelet transform for the fusion of a low-resolution multispectral image and a high-resolution panchromatic image. The multi-spectral image should be transformed into the HIS space from RGB space. The high-resolution panchromatic image approximation then could be first merged into the multi-spectral image approximation of intensity component by adding the higher frequency components of the high-resolution panchromatic image approximation, and then the merged image was reconstructed by means of an inverse WT using the fused approximation and the details from the high-resolution panchromatic image. A comparison of the proposed method with old wavelet merging method and a HIS-only-transform method shows that the proposed method is effective in achieving better performance in combining and preserving spectral-spatial information for the test images.
出处
《计算机应用研究》
CSCD
北大核心
2008年第2期450-451,457,共3页
Application Research of Computers
基金
国家自然科学基金重点资助项目(60634030)
国家自然科学基金资助项目(60372085
60602056)
遥感科学国家重点实验室开放基金资助项目(SK050013)