873 citations · 905 across the 6 of their papers we have counts for
7 papers
Deep learning based automatic detection of offshore oil slicks using SAR data and contextual information
Emna Amri, Hermann Courteille, A Benoit +4
Ocean surface monitoring, especially oil slick detection, has become mandatory due to its importance for oil exploration and risk prevention on ecosystems. For years, the detection…
Analysis of the Cherenkov Telescope Array first Large-Sized Telescope real data using convolutional neural networks
Thomas Vuillaume, Mikaël Jacquemont, Mathieu de Bony de Lavergne +7
The Cherenkov Telescope Array (CTA) is the future ground-based gamma-ray observatory and will be composed of two arrays of imaging atmospheric Cherenkov telescopes (IACTs) located…
First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning
Mikaël Jacquemont, Thomas Vuillaume, Alexandre Benoit +3
The Cherenkov Telescope Array is the future of ground-based gamma-ray astronomy. Its first prototype telescope built on-site, the Large Size Telescope 1, is currently under commiss…
Deep learning for dehazing: Comparison and analysis
A Benoit, Leonel Cuevas, Jean-Baptiste Thomas
We compare a recent dehazing method based on deep learning, Dehazenet, with traditional state-of-the-art approaches , on benchmark data with reference. Dehazenet estimates the dept…
Three dimensional Deep Learning approach for remote sensing image classification
Amina Ben Hamida, A Benoit, Patrick Lambert +1
Recently, a variety of approaches has been enriching the field of Remote Sensing (RS) image processing and analysis. Unfortunately, existing methods remain limited faced to the ric…
Deep Learning for automatic sale receipt understanding
Rizlène Raoui-Outach, Cécile Million-Rousseau, Alexandre Benoit +1
As a general rule, data analytics are now mandatory for companies. Scanned document analysis brings additional challenges introduced by paper damages and scanning quality.In an ind…