72 citations · 287 across the 33 of their papers we have counts for
3 papers · 1 filter
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
In this work, we investigate various methods to deal with semantic labeling of very high resolution multi-modal remote sensing data. Especially, we study how deep fully convolution…
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…
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
In this work, we present a novel module to perform fusion of heterogeneous data using fully convolutional networks for semantic labeling. We introduce residual correction as a way…