DOI: 10.1016/j.jag.2013.05.002
Scopus记录号: 2-s2.0-84897834500
论文题名: Identifying curvature of overpass mountain roads in Iran from highspatial resolution remote sensing data
作者: Alian S ; , Tolpekin V ; A ; , Bijker W ; , Kumar L
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 26, 期: 1 起始页码: 21
结束页码: 25
语种: 英语
英文关键词: Alpha shapes
; Curvature
; Moving window
; Road detection
Scopus关键词: accuracy assessment
; curvature
; geometry
; identification method
; image analysis
; parameterization
; raster
; remote sensing
; road
; spatial resolution
; Iran
英文摘要: Digital curve identification from remote sensing data is difficult in continuous objects such as roads.Use of high spatial resolution images can increase geometrical details and accuracy of estimation anddetect curvy segments from the road boundary. We detect a road as a curve in 2D raster grid and analyzeits shape using fuzzy c-means and alpha shapes. Two approaches identify curvature from the polylineson two sides of the road. Image resolution, radius of alpha circles and size of moving window are thethree main parameters for detection of curvy segments. Lower resolution, larger alpha circles and largermoving windows decrease the chance of detecting sharp and narrow curve segments. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79773
Appears in Collections: 气候变化事实与影响
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作者单位: University of Twente, Faculty of Geoinformation Sciences and Earth Observation (ITC), Hengelsestraat 99, 7514 AA Enschede, Netherlands; ERS, Faculty of Arts and Sciences, University of New England, Armidale, NSW 2351, Australia
Recommended Citation:
Alian S,, Tolpekin V,A,et al. Identifying curvature of overpass mountain roads in Iran from highspatial resolution remote sensing data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,26(1)