Multisensor remote sensing image fusion using stationary wavelet transform: Effects of basis and decomposition level

被引：18
|
作者：
Li, Shutao [1 ]
机构：
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Peoples R China
来源：
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING | 2008年 / 6卷 / 01期
基金：
中国国家自然科学基金;
关键词：
stationary wavelet transform; wavelet filters; decomposition depth; image fusion; remote sensing;
D O I：
10.1142/S0219691308002203
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Stationary wavelet transform is an efficient algorithm for remote sensing image fusion. In this paper, we investigate the effects of orthogonal/ biorthogonal filters and decomposition depth on using stationary wavelet analysis for fusion. Spectral discrepancy and spatial distortion are used as quality measures. Empirical results lead to some recommendations on the wavelet filter parameters for use in remote sensing image fusion applications.
引用
收藏
页码：37 / 50
页数：14
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