R. Achanta, A. Shaji, K. Smith, P. Lucchi, S. Fua et al., SLIC Superpixels Compared to State-of-the-Art Superpixel Methods, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.11, pp.342274-2282, 2012.
DOI : 10.1109/TPAMI.2012.120

N. Audebert, B. L. Saux, and S. Lefèvre, How useful is region-based classification of remote sensing images in a deep learning framework?, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016.
DOI : 10.1109/IGARSS.2016.7730327

URL : https://hal.archives-ouvertes.fr/hal-01320016

V. Badrinarayanan, A. Kendall, and R. Cipolla, SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.12, 2015.
DOI : 10.1109/TPAMI.2016.2644615

URL : https://doi.org/10.1109/tpami.2016.2644615

A. Boulch and R. Marlet, Fast and Robust Normal Estimation for Point Clouds with Sharp Features, Computer Graphics Forum, vol.39, issue.5, pp.1765-1774, 2012.
DOI : 10.1016/j.cad.2007.02.008

URL : http://certis.enpc.fr/%7Emarletr/publi/SGP-2012-Boulch-Marlet.pdf

A. Boulch and R. Marlet, Deep Learning for Robust Normal Estimation in Unstructured Point Clouds, Computer Graphics Forum, vol.37, issue.6, pp.281-290, 2016.
DOI : 10.1016/j.cag.2013.05.008

URL : https://hal.archives-ouvertes.fr/hal-01631736

K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman, Return of the Devil in the Details: Delving Deep into Convolutional Nets, Proceedings of the British Machine Vision Conference 2014, 2014.
DOI : 10.5244/C.28.6

M. Cramer, The dgpf test on digital aerial camera evaluation overview and test design, Photogramm. Fernerkundung Geoinf, vol.2, pp.73-82, 2010.
DOI : 10.1127/1432-8364/2010/0041

K. Tamal, S. Dey, and . Goswami, Provable surface reconstruction from noisy samples, Symposium on Computational Geometry (SoCG), pp.330-339, 2004.

. Lagrange, Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015.
DOI : 10.1109/IGARSS.2015.7326745

M. Gerke, Use of the Stair Vision Library within the ISPRS 2d Semantic Labeling Benchmark (Vaihingen) Technical report, International Institute for Geo-Information Science and Earth Observation, 2015.

H. Hoppe, T. Derose, T. Duchamp, J. Mcdonald, and W. Stuetzle, Surface reconstruction from unorganized points, ACM SIGGRAPH Computer Graphics, vol.26, issue.2, pp.71-78, 1992.
DOI : 10.1145/142920.134011

URL : http://www.cs.cmu.edu/~seitz/course/SIGG99/papers/hoppe92.pdf

I. Grss-dftc, 2015 IEEE GRSS data fusion contest. http://www. grss-ieee.org/community/technical-committees/data-fusion, 2015.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, Adv. in Neural Info. Proc. Sys. 25, pp.1097-1105, 2012.
DOI : 10.1162/neco.2009.10-08-881

URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE, pp.2278-2324, 1998.
DOI : 10.1109/5.726791

URL : http://www.cs.berkeley.edu/~daf/appsem/Handwriting/papers/00726791.pdf

B. Li, R. Schnabel, R. Klein, Z. Cheng, G. Dang et al., Robust normal estimation for point clouds with sharp features, Computers & Graphics, vol.34, issue.2, pp.94-106, 2010.
DOI : 10.1016/j.cag.2010.01.004

J. Long, E. Shelhamer, and T. Darell, Fully convolutional networks for semantic segmentation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
DOI : 10.1109/CVPR.2015.7298965

D. Marmanis, J. D. Wegner, S. Galliani, K. Schindler, M. Datcu et al., Semantic Segmentation of Aerial Images with an Ensemble of CNNs, ISPRS Annals of Photogram., Rem. Sens. and Spatial Info. Sc, vol.3, pp.473-480, 2016.

V. Mnih and G. Hinton, Learning to Detect Roads in High-Resolution Aerial Images, Proc. of ECCV, 2010.
DOI : 10.1007/978-3-642-15567-3_16

URL : http://learning.cs.toronto.edu/%7Ehinton/absps/road_detection.pdf

S. Nowozin and C. Lampert, Structured Learning and Prediction in Computer Vision, Foundations and Trends?? in Computer Graphics and Vision, vol.6, issue.3-4, pp.3-4185, 2011.
DOI : 10.1561/0600000033

URL : http://pub.ist.ac.at/~chl/papers/nowozin-fnt2011.pdf

S. Paisitkriangkrai, J. Sherrah, P. Janney, A. Van-den, and . Hengel, Effective semantic pixel labelling with convolutional networks and Conditional Random Fields, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015.
DOI : 10.1109/CVPRW.2015.7301381

. Nguyen-tien-quang, D. Nguyen-thi-thuy, H. Viet-sang, and . Binh, An Efficient Framework for Pixel-wise Building Segmentation from Aerial Images, Proceedings of 6th ISoICT, p.43, 2015.