Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images

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

Abstract

This paper addresses the problem of updating digital road maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a ldquophase fieldrdquo. In order to overcome the difficulties due to the complexity of the information contained in VHR images, we propose a multiscale statistical data model. It enables the integration of segmentation results from coarse resolution, which furnishes a simplified representation of the data, and fine resolution, which provides accurate details. Moreover, an outdated GIS digital map is introduced into the model, providing specific prior knowledge of the road network. This new term balances the effect of the generic prior knowledge describing the geometric shape of road networks (i.e., elongated and of low-curvature) carried by a ldquophase field higher order active contourrdquo term. Promising results on QuickBird panchromatic images and comparisons with several other methods demonstrate the effectiveness of our approach.

Citation

Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008). Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1(2), 139-146. https://doi.org/10.1109/jstars.2008.922318

• Journal Article Type: Article
• Publication Date: Jun 1, 2008
• Deposit Date: Aug 12, 2011
• Publicly Available Date: Jul 29, 2015
• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Print ISSN: 1939-1404
• Electronic ISSN: 2151-1535
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Issue: 2
• Pages: 139-146
• DOI: https://doi.org/10.1109/jstars.2008.922318
• Public URL: https://durham-repository.worktribe.com/output/1505004