Affiliation of Author(s):中南大学
Teaching and Research Group:测绘与遥感科学系
Journal:IET Image Process
Place of Publication:英国
Funded by:Natural 863 Plan Foundation of China (grant no. 2012AA121301)
Key Words:mean shift (MS) algorithm，image segmentation,
Abstract: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
Co-author:Chong Fan, Zhi-Wei Li, Jia-Xiang Zhou
Indexed by:Applied Research
Document Code:doi: 10.1049/iet-ipr.2014.0393
Discipline:测绘科学与技术
Document Type:J
Volume:9
Issue:5
Page Number:389-394
ISSN No.:1751-9659
Translation or Not:no