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Extraction of main and secondary roads in VHR images using a higher-order phase field model.

Peng, T. and Jermyn, I.H. and Prinet, V. and Zerubia, J. (2008) 'Extraction of main and secondary roads in VHR images using a higher-order phase field model.', in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B3a. Beijing: International Society for Photogrammetry and Remote Sensing, pp. 215-222.

Abstract

This paper addresses the issue of extracting main and secondary road networks in dense urban areas from very high resolution (VHR, ~0.61m) satellite images. The difficulty with secondary roads lies in the low discriminative power of the grey-level distributions of road regions and the background, and the greater effect of occlusions and other noise on narrower roads. To tackle this problem, we use a previously developed higher-order active contour (HOAC) phase field model and augment it with an additional non-linear non-local term. The additional term allows separate control of road width and road curvature; thus more precise prior knowledge can be incorporated, and better road prolongation can be achieved for the same width. Promising results on QuickBird panchromatic images at reduced resolutions and comparisons with other models demonstrate the role and the efficiency of our new model.

Item Type:Book chapter
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution.
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Status:Peer-reviewed
Publisher Web site:http://www.isprs.org/proceedings/XXXVII/congress/tc3a.aspx
Publisher statement:Article published under a Creative Common Attribution 3.0 License.
Date accepted:No date available
Date deposited:19 April 2016
Date of first online publication:July 2008
Date first made open access:No date available

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