基于NSCT和PCNN的遥感图像融合算法  

Remote Sensing Image Fusion Algorithm Based on NSCT and PCNN

作　　者：温黎茗[1] 彭力[1] 徐红[1] 

机构地区：[1]江南大学物联网工程学院,江苏无锡214122

出　　处：《计算机工程》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)

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.

关 键 词：图像融合 非下采样CONTOURLET变换 脉冲耦合神经网络 链接强度 多光谱图像 高分辨率图像 

分 类 号：TN911.73[电子电信—通信与信息系统]