文章基本信息

标题：A Remote Sensing Image Segmentation Method Based on Spectral and Structure Information Fusion
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作者：Qinling Dai ; Guoying Liu ; Cancai Wang 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：2008
卷号：XXXVII Part B7
页码：1215-1222
出版社：Copernicus Publications
摘要：The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of spectral features and spatial features by Gabor filter banks and a variable mean shift clustering algorithm in high dimension is employed to achieve feature fusion. Some issues on the measure metric of different features and standilzation are discussed. The whole algorithm is evaluated on the synthetic texture image, which are cropped from a QuickBird image with typical land–cover types. Compared with fixed bandwidth Mean Shift segmentation algorithm, our method has better performance in distinguishing the different land cover types with similar spectral surface
关键词：Segmentation; Mean Shift; Information Fusion