Identifying curvature of overpass mountain roads in Iran from high spatial resolution remote sensing data

Title
Identifying curvature of overpass mountain roads in Iran from high spatial resolution remote sensing data
Publication Date
2014
Author(s)
Alian, Sahar
Tolpekin, Valentyn A
Bijker, Wietske
Kumar, Lalit
( author )
OrcID: https://orcid.org/0000-0002-9205-756X
Email: lkumar@une.edu.au
UNE Id une-id:lkumar
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Elsevier BV
Place of publication
Netherlands
DOI
10.1016/j.jag.2013.05.002
UNE publication id
une:15076
Abstract
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 and detect curvy segments from the road boundary. We detect a road as a curve in 2D raster grid and analyze its shape using fuzzy c-means and alpha shapes. Two approaches identify curvature from the polylines on two sides of the road. Image resolution, radius of alpha circles and size of moving window are the three main parameters for detection of curvy segments. Lower resolution, larger alpha circles and larger moving windows decrease the chance of detecting sharp and narrow curve segments.
Link
Citation
International Journal of Applied Earth Observation and Geoinformation, v.26, p. 21-25
ISSN
1872-826X
1569-8432
Start page
21
End page
25

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