结合HSV与PCA变换的遥感影像融合  

Study on remote sensing image fusion that combines changes between HSV and PCA

作　　者：都伟冰[1] 谢玉娟[1] 杨文[1] 

机构地区：[1]河南理工大学测绘与国土信息工程学院,河南焦作454000

出　　处：《江苏科技信息》2017年第11期44-46,51,共4页Jiangsu Science and Technology Information

基　　金：河南理工大学博士基金;项目编号:B2016-11

摘　　要：文章提出结合HSV与PCA变换的遥感影像融合方法。针对HSV融合易损失光谱特性,以及PCA融合已损失纹理特性的问题,结合HSV与PCA相互配合的影像融合方法,并以Landsat8多光谱影像和全色影像融合为例,进行试验,通过统计分析,得出该方法最大程度保留了原始影像光谱信息,同时较好地保留了纹理信息。This article proposes a remote sensing image fusion method that combines changes between HSV and PCA. It also examines the fusion of multi-spectral image and panchromatic image of Landsat 8 by using the image fusion method that combines HSV and PCA so as to figure out the features that HSV fusion tend to lose spectral information and to solve the problem of HSV fusion which has already lost the texture information, a method that is studied. Through statistical analysis, it is concluded that the method preserves nearly all original spectral information and well preserves the texture information.

关 键 词：遥感 影像融合 光谱信息 纹理信息 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]