687 citations · 835 across the 19 of their papers we have counts for
Showing 2016 · cs.CVShow all
2 papers · 2 filters
cs.CV2016★ 2 cited
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
In this paper, we investigate the impact of segmentation algorithms as a preprocessing step for classification of remote sensing images in a deep learning framework. Especially, we…
cs.CV2016★ 2 cited
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre
This work investigates the use of deep fully convolutional neural networks (DFCNN) for pixel-wise scene labeling of Earth Observation images. Especially, we train a variant of the…