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

Peng, T.; Jermyn, I.H.; Prinet, V.; Zerubia, J.

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.

Citation

Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008, July). Extraction of main and secondary roads in VHR images using a higher-order phase field model. Presented at XXIst ISPRS Congress Technical Commission III, Beijing

• Presentation Conference Type: Conference Paper (published)
• Conference Name: XXIst ISPRS Congress Technical Commission III
• Publication Date: Jul 1, 2008
• Deposit Date: Aug 12, 2011
• Publicly Available Date: Apr 19, 2016
• Volume: XXXVII
• Pages: 215-222
• Series ISSN: 1682-1750
• Book Title: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B3a.
• Public URL: https://durham-repository.worktribe.com/output/1158740
• Publisher URL: http://www.isprs.org/proceedings/XXXVII/congress/tc3a.aspx