Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/14861
Title: | Identifying curvature of overpass mountain roads in Iran from high spatial resolution remote sensing data | Contributor(s): | Alian, Sahar (author); Tolpekin, Valentyn A (author); Bijker, Wietske (author); Kumar, Lalit (author) | Publication Date: | 2014 | DOI: | 10.1016/j.jag.2013.05.002 | Handle Link: | https://hdl.handle.net/1959.11/14861 | 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. | Publication Type: | Journal Article | Source of Publication: | International Journal of Applied Earth Observation and Geoinformation, v.26, p. 21-25 | Publisher: | Elsevier BV | Place of Publication: | Netherlands | ISSN: | 1872-826X 1569-8432 |
Fields of Research (FoR) 2008: | 090903 Geospatial Information Systems 090905 Photogrammetry and Remote Sensing |
Fields of Research (FoR) 2020: | 401302 Geospatial information systems and geospatial data modelling 401304 Photogrammetry and remote sensing |
Socio-Economic Objective (SEO) 2008: | 960604 Environmental Management Systems | Socio-Economic Objective (SEO) 2020: | 189999 Other environmental management not elsewhere classified | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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Appears in Collections: | Journal Article School of Environmental and Rural Science |
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