融合算法在高空间分辨率影像中的应用研究

摘要:

为了分析非下采样Contourlet变换(Nonsubsampled Contourlet Transform,NSCT)在高空间分辨率影像处理中的优势,对影像降噪处理的具体过程进行分析,得到二次采样Contourlet变换(Sampled Contourlet Transform,SCT)与NSCT算法之间的相关性以及互补性,给出了基于小波理论的Contourlet变换图像融合算法.分析结果显示,在该图像融合算法下,SCT及NSCT方法的标准差均高于原始光谱带,整体的空间及光谱分辨率都较高.

In order to analyze the advantages of Non-subsampled Contourlet Transform (NSCT) in high spatial resolution image processing, the specific process of image noise reduction processing was analyzed and the secondary sampling Contourlet Transform (SCT) was obtained. Based on the correlation and complementarity of the NSCT algorithms, a Contourlet transform image fusion algorithm based on wavelet theory was obtained. The analysis results show that the standard deviations, the overall spatial and spectral resolutions of the SCT and NSCT methods based on the image fusion algorithm are higher than the original spectral bands.

作者:

陈向东 邓江洪 安国成

Chen Xiangdong;Deng Jianghong;An Guocheng(School of information engineering,Huanghuai University,Zhumadian 463000,China;Beijing GuoTieHuaChen Communication Technology Co.,LTD,Beijing 100070,China)

机构地区:

黄淮学院信息工程学院 北京国铁华晨通信技术有限公司

出处:

《betway官方app 学报：自然科学版》 CAS 北大核心 2019年第4期31-36,共6页

基金:

河南省科技攻关项目(132102210423)

关键词:

非下采样CONTOURLET变换 融合算法 小波变换 空间分辨率

Non-subsampled Contourlet transform fusion algorithm wavelet transform spatial resolution

分类号:

P49 [天文地球—大气科学及气象学]

融合算法在高空间分辨率影像中的应用研究.pdf