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Publications about Geographic Information System (GIS)
Result of the query in the list of publications :
Article |
1 - Incorporating generic and specific prior knowledge in a multi-scale phase field model for road extraction from VHR images.
T. Peng and I. H. Jermyn and V. Prinet and J. Zerubia. IEEE Trans. Geoscience and Remote Sensing, 1(2): pages 139--146, June 2008.
Keywords : Dense urban areas, Geographic Information System (GIS), Multiscale, Road network, Variational methods, Very high resolution.
Copyright : ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
@ARTICLE{Peng08b,
|
| author |
= |
{Peng, T. and Jermyn, I. H. and Prinet, V. and Zerubia, J.}, |
| title |
= |
{Incorporating generic and specific prior knowledge in a multi-scale phase field model for road extraction from VHR images}, |
| year |
= |
{2008}, |
| month |
= |
{June}, |
| journal |
= |
{IEEE Trans. Geoscience and Remote Sensing}, |
| volume |
= |
{1}, |
| number |
= |
{2}, |
| pages |
= |
{139--146}, |
| url |
= |
{http://dx.doi.org/10.1109/JSTARS.2008.922318}, |
| pdf |
= |
{http://www-sop.inria.fr/members/Ian.Jermyn/publications/PengetalTGRS08.pdf}, |
| keyword |
= |
{Dense urban areas, Geographic Information System (GIS), Multiscale, Road network, Variational methods, Very high resolution} |
| } |
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 'phase field'. In order to overcome the difficulties due to the complexity of the information contained in VHR images, we propose a multi-scale 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 Moreover, an outdated GIS digital map is introduced into the model, providing specific prior knowledge of the road network.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 'phase field higher-order active contour' term. Promising results on QuickBird panchromatic images and comparisons with several other methods demonstrate the effectiveness of our approach. |
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