Early research years

My research journey started in Montpellier at Maison de la Télédétection (House of Photogrammetry) in 2016 during my Master 1 where I got the initiation to the research projects. It led to my first internship in satellite image processing which defined my future.

The next year, in 2017, I've done my Master 2 internship in Radar image processing. The goal of this internship was to classify different types of "black bodies" (oil/not oil) presented on the sea surface. In Radar images, the oil can be easily mistaken for other phenomena not related to the oil presence. Hereby, the developed algorithm can help to detect the potential petrol sources and sea pollution caused by ship and platform oil spills (see the image below). The method can be divided into two steps: first, we characterize the detected black body (texture extraction, geometry analysis, contextual analysis), second, we use machine learning algorithms to classify the detected objects into eight classes: biogenic oil, oil seep (indicator of the potential petrol source), platform oil spill, ship oil spill, rainfall, current, internal wave, wind shelter and upwelling.