Remote Sensing Image Fusion Based on Integer Wavelet Transformation and Ordered Nonnegative Independent Component Analysis

Remote Sensing Image Fusion Based on Integer Wavelet Transformation and Ordered Nonnegative Independent Component Analysis
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基于整数小波变换和有序非负独立分量分析的遥感图像融合

DOI:
10.2747/1548-1603.49.3.364
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发表时间:
2012-05
影响因子:
6.7
通讯作者:
Pei Wen-jing
Pei Wen-jing
中科院分区:
地球科学2区
文献类型:
--
作者:
Yu Xian-chuan;Ni Feng;Long Si-liang;Pei Wen-jing

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利用IWT多分辨率、高速计算的特点以及独立分量分析可以去除高阶冗余的特点,提出一种基于整数小波变换和有序非负独立分量分析(IWT-ONICA)的遥感图像融合方法。该方法应用于IKONOS卫星图像的融合。统计和可视化结果表明,IWT-ONICA在清晰度和视觉效果方面优于其他融合算法,而峰值信噪比、相关系数、光谱角映射器、相对无量纲全局误差等评价指标也证实了其优越的性能。
A novel remote sensing image fusion method is proposed based on integer wavelet transformation and ordered nonnegative independent component analysis (IWT-ONICA) to take advantage of the IWT characteristics of multi-resolution and high-speed computation and the fact that independent component analysis can remove higher-order redundancy. The proposed method is applied to the fusion of IKONOS satellite images. Statistical and visual results show that IWT-ONICA is superior to other fusion algorithms in terms of clarity and visual effect, while evaluation indicators such as the peak signal-to-noise ratio, correlation coefficient, spectral angle mapper, and relative dimensionless global error confirm its superior performance.
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发表时间: 2005-07
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