摘要
以ETM多谱段和全色影像为数据源,在最佳波段组合分析的基础上,采用主成分变换、乘积变换、小波变换、小波+IHS混合变换和小波+主成分混合变换等方法对图像进行融合.以均值、标准差、信息熵为评价指标,比较分析了不同地物特征的图像融合效果.结果表明:采用小波+IHS混合方法有利于耕地信息的提取;采用小波+主成分融合方法有利于居民地、林地、牧草地、水域、未利用地和园地等信息的提取.
Using the best wave-band combinations with ETM and Pan images based on object features,the fusion effect of image was compared and analyzed by the methods of principal components transformation fusion,multiplicative transformation fusion,wavelet transformation fusion,wavelet＋IHS and wavelet＋principal components transformation fusion.The results were as follows： the fusion result of wavelet＋IHS was favorable for the extraction of farmland information;the fusion result of wavelet＋main components was favorable for the extraction of habitation,forest lands,pastures,water areas,unutilized lands and garden plots.
出处
《福建农林大学学报（自然科学版）》
CSCD
北大核心
2010年第2期196-201,共6页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
国家自然科学基金资助项目(30871965)
福建省自然科学基金资助项目(2008J0117)
福建省科技厅重点资助项目(2008N003)
关键词
地物特征
遥感
融合效果
object feature
remote sensing
fusion effect
