西南林业大学学报2018，Vol.38Issue(2)：103-110,8.DOI:10.11929/j.issn.2095-1914.2018.02.016
高分二号全色-多光谱影像融合方法对比研究
Comparison of Image Fusion Methods for Gaofen-2 Panchromatic-Multispectral
摘要
Abstract
To explore the fusion method suitable for GaoFen-2 satellite images, the efficiency of six state-of-the-art fusion methods,including Gram-Schmidt Transformation (GS),Adaptive GS Transform (GSA),Principal Component Analysis(PCA),Nearest-neighbor Diffusion-based Pan-Sharpening(NND),University of New Bruns-wick (UNB) method,and Subtractive Resolution Merge (SRM) method were compared. Meanwhile,a combination of direct and indirect evaluation methods including visual interpretation and quantitative index and classification ac-curacy were used to evaluate the fusion effects. The results showed that the types of ground cover in the study area were different,and the effects of different fusion methods were different. For instance,the GSA,GS and PCA meth-ods performed well in spatial detail enhancement and spectral preserving,they were suitable for visual interpretation. From the classification point of view,SRM method was best for the application. UNB method had moderate effect in fusion,it can be an alternate method for fusing Gaofen-2 images.And NND method appeared a slight spectral distor-tion and had lower classification accuracy,so it was not recommended in the practical application.关键词
高分二号/影像融合/质量评价/分类Key words
Gaofen-2/image fusion/quality assessment/classification分类
农业科技引用本文复制引用
郑雅兰,王雷光,陆翔..高分二号全色-多光谱影像融合方法对比研究[J].西南林业大学学报,2018,38(2):103-110,8.基金项目
国家自然科学基金项目(41571372)资助. （41571372）
