摘要
为能同时获得空间信息与光谱信息,提出一种基于非下采样Contourlet变换(NSCT)和脉冲耦合神经网络(PCNN)的遥感图像融合算法。通过NSCT分解得到多光谱与高分辨率图像,并对其高低频分量采用不同的准则进行融合。实验结果表明,该算法能较好地保留图像光谱信息,提高图像的空间分辨率。
In order to deal with the problem that the spatial information and spectrum information are hard to be combined when remote images are fused,this paper presents a remote sensing image fusion algorithm based on Nonsubsampled Contourlet Transform（NSCT） and Pulse Coupled Neural Network（PCNN）.This algorthm uses different criteria to fuse the high and low frequency components of multi-spectral and high-resolution image which are decomposed by NSCT.Simulation results show that the proposed algorithm can effectively retain the image spectral information and improve the image spatial resolution greatly.
出处
《计算机工程》
CAS
CSCD
2012年第11期196-198,共3页
Computer Engineering
基金
国家自然科学基金资助项目(60973095)
