A. Serna and B. Marcotegui, Detection, segmentation and classification of 3d urban objects using mathematical morphology and supervised learning, ISPRS J, vol.93, pp.243-255, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01010012

F. Guiotte, S. Lefevre, and T. Corpetti, Rasterization strategies for airborne LiDAR classification using attribute profiles, JURSE, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02343901

M. Mura, J. A. Benediktsson, B. Waske, and L. Bruzzone, Morphological attribute profiles for the analysis of very high resolution images, IEEE TGRS, vol.48, issue.10, pp.3747-3762, 2010.

M. T. Pham, E. Aptoula, S. Lefevre, and L. Bruzzone, Recent Developments from Attribute Profiles for Remote Sensing Image Classification, in ICPRAI, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01969037

S. Calderon and T. Boubekeur, Point Morphology, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01117098

B. Gorte and N. Pfeifer, Structuring laser-scanned trees using 3d mathematical morphology, ISPRS Archives, vol.35, issue.B5, pp.929-933, 2004.

B. J. Ferdosi, H. Buddelmeijer, S. Trager, M. H. Wilkinson, and J. B. Roerdink, Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological operators, IEEE Symposium on Visual Analytics Science and Technology, pp.35-42, 2010.

A. Serna, B. Marcotegui, and J. Hernández, Segmentation of Façades from Urban 3d Point Clouds using Geometrical and Morphological Attribute-based Operators, ISPRS IJGI, vol.5, issue.1, 2016.

A. Aijazi, P. Checchin, and L. Trassoudaine, Segmentation Based Classification of 3d Urban Point Clouds: A Super-Voxel Based Approach with Evaluation, Remote Sensing, vol.5, issue.4, pp.1624-1650, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01655574

P. Salembier, A. Oliveras, and L. Garrido, Antiextensive connected operators for image and sequence processing, IEEE TIP, vol.7, issue.4, pp.555-570, 1998.

M. H. Wilkinson and M. A. Westenberg, Shape Preserving Filament Enhancement Filtering, MICCAI, vol.2208, 2001.

M. A. Westenberg, J. B. Roerdink, and M. H. Wilkinson, Volumetric Attribute Filtering and Interactive Visualization Using the Max-Tree Representation, IEEE TIP, vol.16, issue.12, pp.2943-2952, 2007.

F. N. Kiwanuka, G. K. Ouzounis, and M. H. Wilkinson, Surface-area-based attribute filtering in 3d, ISMM, 2009.

F. N. Kiwanuka and M. H. Wilkinson, Radial Moment Invariants for Attribute Filtering in 3d, WADGMM, 2012.

A. Dufour, O. Tankyevych, B. Naegel, H. Talbot, C. Ronse et al., Filtering and segmentation of 3d angiographic data: Advances based on mathematical morphology, Medical Image Analysis, vol.17, issue.2, pp.147-164, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01719012

E. Grossiord, H. Talbot, N. Passat, M. Meignan, P. Terve et al., Hierarchies and shape-space for pet image segmentation, ISBI, pp.1118-1121, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01169944

H. Urien, I. Buvat, N. Rougon, M. Soussan, and I. Bloch, Brain Lesion Detection in 3d PET Images Using Max-Trees and a New Spatial Context Criterion, ISMM, 2017.
URL : https://hal.archives-ouvertes.fr/hal-02287551

F. J. Padilla, B. Romaniuk, B. Naegel, S. Servagi-vernat, D. Morland et al., Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT, in ISBI, pp.163-167, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01695078

X. Roynard, J. Deschaud, and F. Goulette, Paris-Lille-3d: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification, ArXiv, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01695873