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20172022
most citedDeep learning for semantic segmentation of remote sensing images with rich spectral content

8 citations · 14 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20223 cited

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…

cs.CV2018

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…

cs.CV2018

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.CV20178 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…