摘要
将小波的多分辨分解、进化策略与IHS变换有机地结合起来,提出了一种多光谱与高分辨率图像融合的新算法。该方法首先依据高分辨率图像经小波分解得到的各小波面,进行区域划分,再采用分区域加边缘有效因子的融合思想,使得融合图像最大限度地保留了多光谱图像的光谱信息和高分辨率图像的空间分辨率。文中给出了该方法的融合结果,并与IHS法、MWD法进行了比较,证明了该图像融合方法的有效性。
A new algorithm is developed to merge a high-resolution panchromatic image and a low-resolution multi-spectral image based on the combination of multi-resolution wavelet decomposition, evolutionary strategy and the IHS transform. The high-resolution panchromatic image is firstly decomposed to the wavelet planes, then the region is divided by the wavelet planes and the proposed merging algorithm is done by adding edge influence factor in different region. The proposed method is compared with the IHS and the MWD methods. The results of the comparison show the proposed merger performing the best in combining and preserving spectral-spatial information for the test images.
出处
《电子与信息学报》
EI
CSCD
北大核心
2003年第1期44-49,共6页
Journal of Electronics & Information Technology
基金
陕西省自然科学基金(2000X01)