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.

doi:10.1109/jstars.2008.922318

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.

Authors

T. Peng

Professor Ian Jermyn i.h.jermyn@durham.ac.uk
Professor

V. Prinet

J. Zerubia

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 Moreover, an outdated GIS digital map is introduced into the model, providing specific prior knowledge of the road network.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
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

Files

Accepted Journal Article (7.3 Mb)
PDF

Copyright Statement
© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.