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基于NSCT和PCNN的遥感图像融合算法
引用本文:温黎茗,彭力,徐红.基于NSCT和PCNN的遥感图像融合算法[J].计算机工程,2012,38(11):196-198.
作者姓名:温黎茗  彭力  徐红
作者单位:江南大学物联网工程学院,江苏无锡,214122
基金项目:国家自然科学基金资助项目
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。

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
收稿时间:2011-08-01

Remote Sensing Image Fusion Algorithm Based on NSCT and PCNN
WEN Li-ming , PENG Li , XU Hong.Remote Sensing Image Fusion Algorithm Based on NSCT and PCNN[J].Computer Engineering,2012,38(11):196-198.
Authors:WEN Li-ming  PENG Li  XU Hong
Affiliation:(School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China)
Abstract: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.
Keywords:image fusion  Nonsubsampled Contourlet Transform(NSCT)  Pulse Coupled Neural Network(PCNN)  linking strength  multi-spectral image  high-resolution image
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