摘要
针对非下采样Contourlet变换(NSCT)在全色和多光谱图像融合中计算复杂度较高的问题,文章提出了一种快速的基于NSCT和超维彩色空间变换(HCT)相结合的融合算法:采用HCT变换提取多光谱图像的亮度分量,使得任意波段的多光谱图像跟全色图像融合的计算复杂度降低;采用NSCT进行融合,使得融合结果的空间分辨率提高的同时,保留原光谱特性。基于Pleiades卫星图像的实验结果表明,跟NSCT变换相比,本文提出的融合算法的融合结果空间细节更加突出,光谱畸变更小,同时计算复杂度显著降低。
Aiming at the problem that the NonSubsampled Contourlet Transform（NSCT）was used in the fusion of panchromatic and multispectral images with high computational burden,the paper proposed a fast pansharpening method based on NSCT and Hyperspherical Color Transform（HCT）：HCT was employed to obtain the intensity component of the multispectral image to reduce the fusion computational burden of any band multispectral image and the panchromatic image;meawhile,the fusion was implemented by NSCT made the fusion result obtain a higher spatial resolution and preserve the original spectral characteristics.Experimental results by Pleiades satellite images showed that the proposed algorithm would perform better than NSCT in spatial details and spectral distortion,as well as in computational cost.
出处
《测绘科学》
CSCD
北大核心
2016年第1期151-153,98,共4页
Science of Surveying and Mapping
