Matlab下3种遥感图像融合及其评价  

Three remote sensing image fusion and evaluation based on Matlab

作　　者：唐敏 TANG Min(School of Surveying and Mapping,Anhui University of Science and Technology,Huainan 232001,China)

机构地区：[1]安徽理工大学测绘学院

出　　处：《黑龙江工程学院学报》2019年第5期40-44,共5页Journal of Heilongjiang Institute of Technology

摘　　要：遥感图像融合的方法众多,对小波法、HIS法以及PCA法3种常用图像融合方法的融合效果进行对比分析,了解3种融合方法的特点。基于Matlab软件强大的图像处理功能,以1对已经配准的目标图像为研究对象,在软件中对其实现小波法、HIS法以及PCA法的图像融合,得到相应的融合图像,并进行主观评价和客观评价。结果表明:HIS方法处理得到的图像空间分辨率相对最好,且其光谱信息保存相对小波方法更优秀,而PCA方法的融合图像空间分辨率相对较差,但其具有更好的光谱分辨率,小波方法相对另外两种方法,其融合效果处于中间水平。There are many methods for remote sensing image fusion.The fusion effects of wavelet,HIS and PCA methods are compared and analyzed.The relative characteristics of these three fusion methods are understood.Based on the powerful image processing function of Matlab software,a pair of registered target images are taken as the research object,and the image fusion of wavelet method,HIS method and PCA method is realized in software.The corresponding fused images are obtained,and subjective evaluation and objective evaluation indicators are performed.The result shows that the spatial resolution of the image obtained by the HIS method is relatively best,and the spectral information preservation method is better than the wavelet method.The spatial resolution of the fused image of the PCA method is relatively poor,but it has better spectral resolution.The wavelet method is at an intermediate level compared to the other two methods.

关 键 词：遥感图像融合 小波变换 HIS变换 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]