activity
20172021
most citedThree dimensional Deep Learning approach for remote sensing image classification

873 citations · 902 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2021★ 3 cited

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…

astro-ph.IM2021★ 18 cited

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…

cs.CV2018★ 873 cited

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…

cs.CV2017

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…

cs.CV2017★ 8 cited

Deep learning for semantic segmentation of remote sensing images with rich spectral content

A Hamida, A. Benoît, P. Lambert +4

With the rapid development of Remote Sensing acquisition techniques, there is a need to scale and improve processing tools to cope with the observed increase of both data volume an…