Characterization and Extraction of Roads Using Polarimetry Methods in L-Band SAR Images

Paillou Nathan (1) , Laetitia Thirion-Lefevre (1) , Regis Guinvarc'H (1)

1 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay

Road detection is a well-known subject in optics. For example, it is now possible to perform a road extraction and calculate a travel time using multiple look angles optic data. In SAR, road extraction is not new neither , even if it is less developed. When it comes to detection in SAR images, it is most of the time about detecting a small target with high intensity, and if the data set is temporal, the target is punctual and present at few dates. However, it is different here for roads, as they can be thin but are often long, have low radiometry, and are permanent in time. This article shows that it might be possible to characterize roads compared to their environment using temporal methods. A proposition for road extraction based on these road's characterizations is shown, and ideas about improving the extraction are presented.

Mots clés: SAR; Road Extraction; Temporal; Polarimetry; Entropy; Differential Entropy; Intensity

Domaines: Physique [physics]; Traitement du signal et de l'image [eess.SP]

Paillou Nathan, Laetitia Thirion-Lefevre, Regis Guinvarc'H. Characterization and Extraction of Roads Using Polarimetry Methods in L-Band SAR Images. IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, France. pp.327-330, ⟨10.1109/IGARSS47720.2021.9553904⟩. ⟨hal-03616696⟩