两种基于2DPCA图像融合算法的性能研究

基于2DPCA的图像融合算法是一种新近提出的图像融合技术,它是通过图像矩阵右乘投影矩阵来实现2DPCA分析的。因而,这种算法能够有效利用图像的二维结构信息,具有良好的性能,不仅能够提高融合图像的空间分辨率,而且使光谱信息得到较好保持。提出了一种通过图像矩阵左乘最优投影矩阵来实现2DPCA分析的图像融合算法,即L2DPCA图像融合算法,并将2DPCA算法和L2DPCA算法与经典的BROVEY、PCA和H IS三种图像融合算法进行了对比研究。结果表明:2DPCA算法和L2DPCA算法的性能明显优于这三种经典的算法。

Performance of two kinds of 2DPCA algorithms in image fusion

2DPCA-based image fusion algorithm is a newly proposed technique in image fusion.2DPCA(Two Dimensional Principal Component Analysis) is directly performed on the image matrices by multiplying the optimal projection matrix at the right side of the multispectral images.The advantage of this technique is that it can not only effectively utilize the structural information of the multispectral images,but also improve the spatial resolution and preserve the spectral information.The paper compared the performance ...