Improved fast mean shift algorithm for remote
发布时间：2018-04-08
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所属单位：中南大学
教研室：测绘与遥感科学系
发表刊物：IET Image Process
刊物所在地：英国
项目来源：Natural 863 Plan Foundation of China (grant no. 2012AA121301)
关键字：mean shift (MS) algorithm，image segmentation,
摘要：Image segmentation plays a crucial role in object-based remote sensing information extraction. This study improves the existing mean shift (MS) algorithm for segmenting high resolution remote sensing imagery by adopting two strategies. First, a pixel-based, fixed bandwidth and weighted MS algorithm is applied to cluster the image. In this process, the space bandwidth is selected according to the resolution of remote sensing images, and the range bandwidths of each band are calculated based on grey feature and the plug-in rule. Gaussian kernels are used for clustering. Second, a region-based MS
合写作者：Chong Fan, Zhi-Wei Li, Jia-Xiang Zhou
论文类型：应用研究
论文编号：doi: 10.1049/iet-ipr.2014.0393
学科门类：测绘科学与技术
文献类型：J
卷号：9
期号：5
页面范围：389-394
ISSN号：1751-9659
是否译文：否
发表时间：2015-05-01