摘要
研究了基于ARSIS概念的遥感影像的小波包融合方法。利用小波包分解高分辨率影像和多光谱影像,在融合影像的低频小波包系数重构时采用波段间交互构建模式,即包含了多光谱影像低频小波包系数,也包含了高分辨率影像低频小波包系数。融合影像的高频小波包系数以局部方差为规则进行择优选取。融合实验结果证明,新方法在对原多光谱影像信息的保持上优于IHS方法,同时在保持高分辨率影像的细节信息上有所改善。
The paper has researched the remote sensing image wavelet packet fusion based on the ARSIS concept. The high spatial resolution image and multi-spectral image were decomposed by wavelet packet. The inter-band structure model was applied to reconstruct fusion image approximation wavelet packet coefficient, which comprised approximation wavelet packet coefficient of multi-spectral image and high spatial resolution image. Fusion image wavelet packet details coefficients were selected based on local variance . Fusion experimental results showed that the new method was superior to the IHS in keeping multi-spectral image information, while the information details of high spatial images were improved.
出处
《遥感信息》
CSCD
2007年第1期15-17,92,I0002,共5页
Remote Sensing Information
基金
福建省青年科技人才创新项目"快鸟影像小波包融合的多尺度城市景观分析与评价"(2006F3098)
关键词
ARSIS概念
遥感
小波包
融合
ARSIS concept
remote sensing
wavelet packet
fusion
