文章基本信息

标题：Pixel level fusion methods for remote sensing images: A current review
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作者：Jinghui Yang ; Jixian Zhang ; Haitao Li 等
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 - Part 7B
页码：680-686
出版社：Copernicus Publications
摘要：Image fusion is capable of integrating different imagery to produce more information than can be derived from a single sensor. So far, many pixel level fusion methods for remote sensing images have been presented, in which the lower resolution multispectral image's structural and textural details are enhanced by adopting the higher resolution panchromatic image corresponding to the multispectral image. For this reason, it is also called pansharpening. In this paper we will list current situation of pixel level image fusion by dividing those methods into three categories, i.e., component substitution technique, modulation based technique and multi-resolution analysis based technique according to fusion mechanism. Also, the properties of the three categories for applications are discussed
关键词：Image Fusion; Pansharpening; Pixel Level; Remote Sensing