Choix d'un espace de représentation image adapté à la détection de réseaux routiers
This work addresses the problem of automated road detection for remote sensing applications, but it appears incremental as it builds on existing decomposition techniques.
The paper tackled road network detection in aerial or satellite imagery by applying an image decomposition method into structures and textures, resulting in a detection process that includes alignment detection and refinement steps.
These last years, algorithms allowing to decompose an image into its structures and textures components have emerged. In this paper, we present an application of this type of decomposition to the problem road network detection in aerial or satelite imagery. The algorithmic procedure involves the image decomposition (using a unique property), an alignment detection step based on the Gestalt theory, and a refinement step using statistical active contours.