Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition
Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition
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DOI：
10.1109/tgrs.2004.825593
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发表时间：
2004-06-01
影响因子：
8.2
通讯作者：
García, R
中科院分区：
文献类型：
--
作者：
González-Audícana, M;Saleta, JL;García, R
自Chavez提出高通滤波融合多光谱和全色图像以来，基于相同的原理已经开发了几种融合方法：从全色图像中提取空间细节信息，然后将其注入多光谱图像。在本文中，我们提出了新的融合方案基于相同的概念，使用多分辨率小波分解执行细节提取阶段和强度色调饱和度（IHS）和主成分分析（PCA）程序注入到多光谱全色图像的空间细节。多分辨率小波分解已经使用抽取和未抽取算法进行，并将得到的合并图像进行光谱和空间比较。这些融合方法以及标准的IHS、PCA和小波方法已被用于以4：1的比例合并法国地球观测系统4 XI和法国地球观测系统4 M图像。我们已经估计了每种融合方法的有效性，通过分析，视觉和定量，所得到的融合图像的质量。在本文中提出的方法的结果与标准的IHS，PCA，和标准的基于小波的融合方法所获得的质量提高的合并图像。对于这两种融合方法，当使用非抽取算法进行多分辨率小波分解时，得到了更好的结果。
Since Chavez proposed the highpass filtering procedure to fuse multispectral and panchromatic images, several fusion methods have been developed based on the same principle: to extract from the panchromatic image spatial detail information to later inject it into the multispectral one. In this paper, we present new fusion alternatives based on the same concept, using the multiresolution wavelet decomposition to execute the detail extraction phase and the intensity-hue-saturation (IHS) and principal component analysis (PCA) procedures to inject the spatial detail of the panchromatic image into the multispectral one. The multiresoitition wavelet decomposition has been performed using both decimated and undecimated algorithms and the resulting merged images compared both spectral and spatially. These fusion methods, as well as standard IHS-, PCA-, and wavelet-based methods have been used to merge Systeme Pour l'Observation de la Terre (SPOT) 4 XI and SPOT 4 M images with a ratio 4: 1. We have estimated the validity of each fusion method by analyzing, visually and quantitatively, the quality of the resulting fused images. The methodological approaches proposed in this paper result in merged images with improved quality with respect to those obtained by standard IHS, PCA, and standard wavelet-based fusion methods. For both proposed fusion methods, better results are obtained when an undecimated algorithm is used to perform the multiresolution wavelet decomposition.