摘要
该文采用PCA变换与IHS变换对快鸟的多光谱、全色影像进行融合处理.图像的处理全过程均在ERDASIMAGINE 8.5中完成.影像的统计特征评价均值、标准差在ERDAS IMAGINE 8.5中完成,熵、联合熵的计算应用Matlab编程完成.经计算两种变换后影像的联合熵均大于原图像,其中以PCA融合处理后的联合熵(15.865)最大.各波段的均值、标准差也与原多光谱影像相近,因此该试验中PCA变换最佳,不但保留了多光谱的特性,还融进了全色波段的高分辨率特征.
Based on the transforming of IHS and PCA,fusion process of multi——spectrum and panchromatic image was studied in this paper.The whole image processing,characteristic evaluation,average value and standard deviation were treated with ERDAS IMAGINE 8.5.Coefficients entropy and cross entropy were processed by Matlab Programme.The value of entropy,which was 15.865,processed by PCA was the highest and both of IHS and PCA had higher entropy values than primary image.Average values and standard deviation of all bands processed by PCA and IHS were almost equal to that of primary image.Results show that the PCA transforming is the best way of fusion processing and it not only maintains the characteristics of multi-spectrum,but also fuses the high resolution characteristics of panchromatic bands.
出处
《北京林业大学学报》
CAS
CSCD
北大核心
2007年第S2期181-184,共4页
Journal of Beijing Forestry University
基金
国家自然科学基金(90302014)
