Properties of BV-G structures + textures decomposition models. Application to road detection in satellite images
Jerome Gilles, Yves Meyer

TL;DR
This paper provides theoretical insights into a structures-textures decomposition model and develops an algorithm for detecting road networks in satellite images based on these insights.
Contribution
It offers new theoretical results on a structures-textures decomposition model and applies these findings to improve road detection algorithms in satellite imagery.
Findings
Theoretical characterization of the BV-G structures-textures model
An algorithm for detecting long, thin objects in satellite images
Successful application to road network detection
Abstract
In this paper we present some theoretical results about a structures-textures image decomposition model which was proposed by the second author. We prove a theorem which gives the behavior of this model in different cases. Finally, as a consequence of the theorem we derive an algorithm for the detection of long and thin objects applied to a road networks detection application in aerial or satellite images.
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