Properties of BV-G structures + textures decomposition models. Application to road detection in satellite images
This work addresses road detection in satellite images, which is an incremental improvement for remote sensing applications.
The paper presents theoretical results for a structures-textures image decomposition model, proving a theorem on its behavior and deriving an algorithm for detecting long, thin objects, specifically applied to road network detection in aerial or satellite images.
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.