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基于IHS变换和主成分变换的遥感影像融合
引用本文:武文波,康停军,姚静. 基于IHS变换和主成分变换的遥感影像融合[J]. 辽宁工程技术大学学报(自然科学版), 2009, 28(1)
作者姓名:武文波  康停军  姚静
作者单位:1. 辽宁工程技术大学测绘与地理科学学院,辽宁,阜新,123000
2. 中山大学遥感与地理信息工程系,广东,广州,510275
基金项目:教育部高等学校博士学科点专项科研基金,辽宁省自然科学基金 
摘    要:针对IHS变换融合影像时存在较严重的光谱失真现象,利用主成分变换对IHS变换法进行了改进.新方法首先对多光谱影像做IHS变换得到亮度I,色度H,饱和度S三个分量,然后用I分量和高分辨率全色影像做主成分变换,并提取第一主分量,并以I为标准进行直方图匹配;将匹配后的影像与H,S进行IHS反变换得到新的多光谱图像.主观视觉分析和客观参数表明,该方法不仅很好的保留了影像的光谱信息,而且兼顾了地物细节能力的表达.

关 键 词:遥感影像融合  IHS变换  主成分变换

Remote sensing image fusion based on IHS transform and principal component analysis transform
WU Wenbo,KANG Tingjon,YAO Jing. Remote sensing image fusion based on IHS transform and principal component analysis transform[J]. Journal of Liaoning Technical University (Natural Science Edition), 2009, 28(1)
Authors:WU Wenbo  KANG Tingjon  YAO Jing
Affiliation:1.School Of Geomatics;Liaoning Technical University;Fuxin 123000;China;2.Department of Remote Sensing and GIS Engineering;Sun Yat-sen University;Guangzhou;510275;China
Abstract:In view of the spectrum distortion of IHS transformin,an improved remote sensing image fusion method is presented based on IHS transforming and Principal Component Analysis(PCA) Transforming.Firstly,the multi-spectral image is transformed by IHS transform,and I,H,S components are obtained;Secondly,the panchromatic image and I component are merged with PCA transforming.And the first component is obtained and the histogram of the first component is matched according to I.and I was replaced by the matched data...
Keywords:Remote sensing image fusion  IHS transform  Principal Component Analysis Transform  
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