Skip to Main content
Number of documents

1

Nicolas Audebert


I am Computer Vision and Machine Learning reseracher with a focus on multi-modal data and remote sensing.

I hold a PhD in Computer Science from the University of South Brittany (France), prepared jointly between ONERA and IRISA, My thesis was supervised by Sébastien Lefèvre and Bertrand Le Saux. It dealt with deep neural networks (deep learning) for remote sensing image analysis and Earth Observation. Specifically, I have worked on convolutional neural networks for semantic labeling of airborne optical images (infrared, RGB and hyperspectral).

I am currently a research scientist in the industry.

I am interested in machine learning, algorithms and Python.

Take a look at my personal website for more information.


Michel Crucianu   

Journal articles1 document

  • Clément Rambour, Nicolas Audebert, E. Koeniguer, B. Le Saux, M. Crucianu, et al.. Flood detection in time series of optical and sar images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Copernicus GmbH (Copernicus Publications), 2020, XLIII-B2-2020, pp.1343-1346. ⟨10.5194/isprs-archives-XLIII-B2-2020-1343-2020⟩. ⟨hal-02924220⟩