文章基本信息

标题：A Region-Based Technique for Fusion of High Resolution Images Using Mean Shift Segmentation
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作者：Li Shuang ; Li Zhilin
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：2008
卷号：XXXVII Part B7
页码：1267-1272
出版社：Copernicus Publications
摘要：This paper describes a region-based technique for fusion of high-resolution images. In this technique, mean shift segmentation is adopted to extract the features for high resolution image as a substitution of other segmentation methods (e.g. Canny operator) and Structure Similarity Index Metric (SSIM) is used to measure the region similarity. Experiments on IKONOS images are carried out to compare the results obtained from this new technique and those with Canny segmentation. It has been found that the results obtained this new technique is much better than the conventional ones in terms of spatial sharpness and spectral reservation
关键词：Image processing; Sharpening; Image understanding; Fusion; Geography