687 citations · 835 across the 19 of their papers we have counts for
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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…
cs.CV2017★ 9 cited
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
In this work, we investigate the use of OpenStreetMap data for semantic labeling of Earth Observation images. Deep neural networks have been used in the past for remote sensing dat…