Fusion Algorithm for Remote Sensing Images Based on Nonsubsampled Contourlet Transform  被引量:25

Fusion Algorithm for Remote Sensing Images Based on Nonsubsampled Contourlet Transform

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作  者:YANG Xiao-Hui JIAO Li-Cheng 

机构地区:[1]Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China,Institute of Intelligent Information Processing,Xidian University,Xi'an 710071,P.R.China

出  处:《自动化学报》2008年第3期274-281,共8页Acta Automatica Sinica

基  金:Supported by National Natural Science Foundation of China(60472084)

摘  要:就图象的人的视觉系统和特征而言,新奇图象熔化策略为在 nonsubsampled contourlet 的高分辨率图象和 multispectral 图象转变的 panchro matic (NSCT ) 被介绍域。NSCT 能由它好 multiresolution,移动不变性,和高 directionality 的特征的优点在图象给 asymptotic 边和轮廓的最佳的表示。紧张部件增加策略基于 LHS 变换被介绍进 NSCT 领域保存空间分辨率和颜色内容。熔化方法建议了的实验表演能改进空间分辨率并且保留光谱信息同时,并且与传统的原则部件分析( PCA )相比在视觉效果和量的肛门 ysis 两个都有改进方法, intensity-hue-saturation (代表耶稣之符号)变换技术,小浪变换加权的熔化方法,相应小浪基于变换的熔化方法,和 contourlet 基于变换的熔化方法。Considering human visual system and characteristics of images,a novel image fusion strategy is presented for panchro- matic high resolution image and multispectral image in nonsubsampled contourlet transform(NSCT)domain.The NSCT can give an asymptotic optimal representation of edges and contours in image by virtue of its characteristics of good multiresolution,shift- invariance,and high directionality.An intensity component addition strategy based on LHS transform is introduced into NSCT domain to preserve spatial resolution and color content.Experiments show that the fusion method proposed can improve spatial resolution and keep spectral information simultaneously,and that there are improvements both in visual effects and quantitative anal- ysis compared with the traditional principle component analysis(PCA)method,intensity-hue-saturation(IHS)transform technique, wavelet transform weighted fusion method,corresponding wavelet transform-based fusion method,and contourlet transform-based fusion method.

关 键 词:混合算法 遥感图象 强度组分添加 非子采样Contourlet变换 LHS变换 

分 类 号:TP75[自动化与计算机技术—检测技术与自动化装置]

 

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