B. Ma, A. Hero, J. Gorman, and O. Michel, Image registration with minimum spanning tree algorithm, Proceedings. 2000 International Conference on, vol.1, pp.481-484, 2000.
DOI : 10.1109/icip.2000.901000

URL : http://www.eecs.umich.edu/~hero/Preprints/MinimumSpanningTree.pdf

L. Bao, Y. Song, Q. Yang, H. Yuan, and G. Wang, Tree filtering: Efficient structure-preserving smoothing with a minimum spanning tree, IEEE Trans. Im. Proc, vol.23, issue.2, pp.555-569, 2014.
DOI : 10.1109/tip.2013.2291328

W. Tu, S. He, Q. Yang, and S. Chien, Real-time salient object detection with a minimum spanning tree, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.2334-2342, 2016.
DOI : 10.1109/cvpr.2016.256

F. Meyer, Hierarchies of partitions and morphological segmentation, International Conference on ScaleSpace Theories in Computer Vision, pp.161-182, 2001.

C. Couprie, L. Grady, L. Najman, and H. Talbot, Power watershed: A unifying graph-based optimization framework, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.7, pp.1384-1399, 2011.
DOI : 10.1109/tpami.2010.200

A. Fehri, S. Velasco-forero, and F. Meyer, Prior-based hierarchical segmentation highlighting structures of interest, International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, pp.146-158, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01484281

M. Chen, Q. Yang, Q. Li, G. Wang, and M. Yang, Spatiotemporal background subtraction using minimum spanning tree and optical flow, European Conference on Computer Vision, pp.521-534, 2014.
DOI : 10.1007/978-3-319-10584-0_34

URL : http://faculty.ucmerced.edu/mhyang/papers/eccv14_background.pdf

Q. Yang, A non-local cost aggregation method for stereo matching, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pp.1402-1409, 2012.

L. Gueguen, Classifying compound structures in satellite images: A compressed representation for fast queries, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.4, pp.1803-1818, 2015.

Y. Ma, H. Wu, L. Wang, B. Huang, R. Ranjan et al., Remote sensing big data computing: Challenges and opportunities, Future Generation Computer Systems, vol.51, pp.47-60, 2015.
DOI : 10.1016/j.future.2014.10.029

URL : https://repository.uwl.ac.uk/id/eprint/1732/1/fgcs2.pdf

S. Li, S. Dragicevic, F. A. Castro, M. Sester, S. Winter et al., Geospatial big data handling theory and methods: A review and research challenges, ISPRS Journal of Photogrammetry and Remote Sensing, vol.115, pp.119-133, 2016.
DOI : 10.1016/j.isprsjprs.2015.10.012

URL : http://discovery.ucl.ac.uk/1480750/1/Haworth.pdf

F. Zanoguera and F. Meyer, On the implementation of non-separable vector levelings, Proc. of ISMM2002, 2002.

L. Najman, J. Cousty, and B. Perret, Playing with kruskal: Algorithms for morphological trees in edgeweighted graphs, ISMM, pp.135-146, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00798621

P. Soille, Constrained connectivity for hierarchical image partitioning and simplification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.7, pp.1132-1145, 2008.
DOI : 10.1109/tpami.2007.70817

L. Gueguen, S. Velasco-forero, and P. Soille, Local mutual information for dissimilarity-based image segmentation, Journal of mathematical imaging and vision, vol.48, issue.3, pp.625-644, 2014.
DOI : 10.1007/s10851-013-0432-9

URL : https://hal.archives-ouvertes.fr/hal-01110199