Multiresolution-based image fusion with additive wavelet decomposition
Multiresolution-based image fusion with additive wavelet decomposition
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DOI：
10.1109/36.763274
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发表时间：
1999-05-01
影响因子：
8.2
通讯作者：
Arbiol, R
中科院分区：
文献类型：
--
作者：
Núñez, J;Otazu, X;Arbiol, R
标准的数据融合方法在融合高分辨率全色图像和低分辨率多光谱图像时可能并不令人满意，因为它们会扭曲多光谱数据的光谱特征。在本文中，我们开发了一种基于多分辨率小波分解的技术，用于此类图像的融合和数据融合。这里介绍的方法包括将高分辨率图像的小波系数添加到多光谱（低分辨率）数据中。我们研究了几种可能性，得出的结论是，效果最佳的方法是将全色图像小波变换的高阶系数添加到多光谱图像的强度分量（定义为L = R + G + B/3）中。因此，该方法是对标准强度 - 色调 - 饱和度（IHS或LHS）融合方法的一种改进。我们使用了“à trous”算法，该算法允许使用二进小波以一种简单有效的方案融合非二进数据。我们使用该方法融合了SPOT和LANDSAT（TM）图像。所提出的技术在保留光谱和空间信息方面明显优于IHS和LHS融合方法。
The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data. In this paper, we developed a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of such images. The method presented here consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. We have studied several possibilities concluding that the method which produces the best results consists in adding the high order coefficients of the wavelet transform of the panchromatic image to the intensity component (defined as L = R+G+B/3) of the multispectral image. The method is, thus, an improvement on standard intensity-hue-saturation (IHS or LHS) mergers. We used the "a trous" algorithm which allows to use a dyadic wavelet to merge nondyadic data in a simple and efficient scheme. We used the method to merge SPOT and LANDSAT (TM) images. The technique presented is clearly better than the IHS and LHS mergers in preserving both spectral and spatial information.