Synthetic Aperture Radar for maritime traffic monitoring and oil spill detection
Mentor: Maria-Pilar Jarabo-Amores
Phone: (+34) 918856743
University: Universidad de Alcalá
Partner Host Institution:
Keywords: Synthetic Aperture Radar, vessel detection, oil spill characterization, Artificial Intelligence, TerraSAR-X/PAZ, Sentinel.

Synthetic Aperture Radar for maritime traffic monitoring and oil spill detection

Synthetic Aperture Radar (SAR) systems are powerful Earth Observation (EO) tools that can be used for marine safety, monitoring the traffic, trying to prevent illegal, unreported and unregulated fishing, supporting search and rescue tasks and for oil spill pollution surveillance. SAR systems produce high-resolution imagery of wide areas under any weather condition, and during day and night. However, automatic interpretation of SAR images is very difficult taking into consideration SAR speckle noise and the complex marine environment and the wind conditions. The estimation of wind direction directly from the SAR image is an open issue because there are several physical effects causing features in SAR images that are aligned with the wind direction (boundary layer rolls, Langmuir cells, surfactant streaks, …). Research areas:
– Estimation of sea surface wind speed and wind direction from SAR data.
– Classification of oil spills using the external data provided by the wind conditions and vessel detection.
– Design of processing architectures fulfilling the near-real-time requirements.

Departament: Signal Theory and Communications
Research Group: High Frequencies Technlologies
More Information:
Relevants projects on the area: “Oil Spill Detection and Classification System in SAR imagery” (Ref 70/2017) and “Vessel Detection Sytem in SAR imagery” (Ref 37/2016) funded by Hisdesat, the owner of PAZ satellite, the Spanish satellite SAR EO system, launched on the 22nd of February of 2018.
Relevants publications on the area: 1.- Jaime Martín-de-Nicolás, Maria-Pilar Jarabo-Amores, David Mata-Moya, Nerea del-Rey-Maestre and José-Luis Bárcena-Humanes. Statistical Analysis of SAR Sea Clutter for Classification Purposes. Remote Sensing. Vol 6, pp 9379—9411, 2014 (10.3390/rs6109379)
2.- Mari-Cortes Benito-Ortiz, David Mata-Moya, Pilar Jarabo-Amores, Nerea del-Rey-Maestre, Jose-Luis Barcena-Humanes. Design and Evaluation of an Artificial Intelligence Based Vessel Detection System in Pol-SAR Images. 12th European Conference on Synthetic Aperture Radar (EUSAR2018). 2018.