火力与指挥控制2009，Vol.34Issue(10)：121-124,4.
基于非采样Contourlet变换的高光谱图像融合算法
Research on Fusion of Hyperspectral Images based on Nonsubsampled Contourlet Transform
摘要
Abstract
There are hundreds of bands in hyperspectral data and the bands are highly correlative. The difficulty of analysis could be- reduced by using fusion technology. A novel hyperspectral image fusion algorithm based on nonsubsampled Contourlet transform is proposed. Firstly, feature images extraction is applied to hyperspectral images; then, several feature images extracted are separately decomposed into multiresolution representation by nonsubsampled Contourlet transform and the coefficients are fused according to the weights which are calculated with the energy of the corresponding neighbor region. Finally, the fused coefficients are reconstructed by reverse nonsubsampled Contourlet transform. Experimental results for real OMIS hyperspectral images show that the proposed fusion algorithm of hyperspectral images based on nonsubsampled Contourlet transform could well retain spatial and spectral feature. In addition, it outperforms than the typical fusion algorithms such as wavelet transform and Contourlet transform.关键词
高光谱图像/图像融合/非采样Contourlet变换/特征提取Key words
hyperspectral images/image fusion/nonsubsampled contourlet transform/feature extraction分类
信息技术与安全科学引用本文复制引用
常威威,郭雷,付朝阳..基于非采样Contourlet变换的高光谱图像融合算法[J].火力与指挥控制,2009,34(10):121-124,4.基金项目
国家自然科学基金资助项目(60675015) （60675015）
