期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - 4/C7
出版社：Copernicus Publications
摘要：In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral information. The basic idea is to build a segmented label image by statistical region merging and minimum heterogeneity rule (SRMMHR) segmentation method to guide the object-based image fusion (OBIF). There are three key techniques of the OBIF method including SRMMHR segmentation, Mallat's and à trous wavelet transformation, and fusion rule based on object energy. The results demonstrate that the new OBIF methods based on wavelet and PCA are better comparing with pixel-based image fusion methods such as Mallat's, à trous, Mallat's PCA, à trous PCA
关键词：Object-based image fusion (OBIF); statistical region merging and minimum heterogeneity rule (SRMMHR); ; Mallat's; à trous
