D. W. Aha, D. F. Kibler, and M. K. Albert, Instance-based learning algorithms, Machine Learning, vol.57, issue.1, pp.37-66, 1991.
DOI : 10.1007/BF00153759

E. Aptoula and S. Lefèvre, A comparative study on multivariate mathematical morphology, Pattern Recognition, vol.40, issue.11, 2007.
DOI : 10.1016/j.patcog.2007.02.004
URL : https://hal.archives-ouvertes.fr/hal-00512660

B. Bhanu, S. Lee, and S. Das, Adaptive image segmentation using genetic and hybrid search methods, IEEE Transactions on Aerospace and Electronic Systems, vol.31, issue.4, pp.1268-1291, 1995.
DOI : 10.1109/7.464350

T. Blaschke, Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.1, pp.2-10, 2010.
DOI : 10.1016/j.isprsjprs.2009.06.004

T. Blaschke, S. Lang, E. Lorup, J. Strobl, and P. Zeil, Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications. Environmental information for planning, pp.555-570, 2000.

A. P. Carleer, O. Debeir, and E. Wolff, Assessment of Very High Spatial Resolution Satellite Image Segmentations, Photogrammetric Engineering & Remote Sensing, vol.71, issue.11, pp.1285-1294, 2005.
DOI : 10.14358/PERS.71.11.1285

Y. Chen, F. Huang, H. Tagare, M. Rao, D. Wilson et al., Using prior shape and intensity profile in medical image segmentation, Proceedings of the Ninth IEEE International Conference on Computer Vision, pp.1117-1124, 2003.

S. Derivaux, Construction et classification d'objets partir d'images de télédétection par une approche itérative guidée par des connaissances du domaine, 2009.

R. Q. Feitosa, G. A. Costa, T. B. Cazes, B. , and F. , A genetic approach for the automatic adaptation of segmentation parameters, International Conference on Object-based Image Analysis, 2006.

C. M. Fonseca and P. J. Fleming, An Overview of Evolutionary Algorithms in Multiobjective Optimization, Evolutionary Computation, vol.3, issue.1, pp.1-16, 1996.
DOI : 10.1162/evco.1994.2.3.221

A. Gersho and R. M. Gray, Vector quantization and signal compression, 1992.
DOI : 10.1007/978-1-4615-3626-0

D. Goldberg and J. Holland, Genetic algorithms and machine learning, Machine Learning, vol.3, issue.2/3, pp.95-99, 1988.
DOI : 10.1023/A:1022602019183

V. Grau, A. Mewes, M. Alcaniz, R. Kikinis, and S. Warfield, Improved Watershed Transform for Medical Image Segmentation Using Prior Information, IEEE Transactions on Medical Imaging, vol.23, issue.4, pp.447-458, 2004.
DOI : 10.1109/TMI.2004.824224

S. Haker, G. Sapiro, and A. Tannenbaum, Knowledge-based segmentation of SAR data with learned priors, IEEE Transactions on Image Processing, vol.9, issue.2, pp.299-301, 2000.
DOI : 10.1109/83.821747

G. Hamarneh and X. Li, Watershed segmentation using prior shape and appearance knowledge. Image and Vision Computing- doi:10, 2007.
DOI : 10.1016/j.imavis.2006.10.009
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.6188

K. Haris, S. N. Efstradiadis, N. Maglaveras, and A. K. Katsaggelos, Hybrid image segmentation using watersheds and fast region merging, IEEE Transactions on Image Processing, vol.7, issue.12, pp.1684-1699, 1998.
DOI : 10.1109/83.730380
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.8622

P. Jaccard, THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1, New Phytologist, vol.11, issue.2, pp.37-50, 1912.
DOI : 10.1111/j.1469-8137.1912.tb05611.x

L. Janssen and M. Molenaar, Terrain objects, their dynamics and their monitoring by the integration of GIS and remote sensing, IEEE Transactions on Geoscience and Remote Sensing, vol.33, issue.3, pp.749-758, 1995.
DOI : 10.1109/36.387590

S. Lefèvre and . August, Knowledge from Markers in Watershed Segmentation, IAPR International Conference on Computer Analysis of Image and Patterns (CAIP, pp.579-586, 2007.
DOI : 10.1007/978-3-540-74272-2_72

I. Levner and H. Zhang, Classification-Driven Watershed Segmentation, IEEE Transactions on Image Processing, vol.16, issue.5, pp.1437-1445, 2007.
DOI : 10.1109/TIP.2007.894239

V. Martin, N. Maillot, M. , and T. , A learning approach for adaptive image segmentation, IEEE International Conference on Computer Vision Systems, pp.40-48, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00499629

F. Meyer and S. Beucher, Morphological segmentation, Journal of Visual Communication and Image Representation, vol.1, issue.1, pp.21-46, 1990.
DOI : 10.1016/1047-3203(90)90014-M

L. Najman and M. Schmitt, Geodesic saliency of watershed contours and hierarchical segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.12, pp.1163-1173, 1996.
DOI : 10.1109/34.546254
URL : https://hal.archives-ouvertes.fr/hal-00622128

G. Pignalberi, R. Cucchiara, L. Cinque, and S. Levialdi, Tuning Range Image Segmentation by Genetic Algorithm, EURASIP Journal on Advances in Signal Processing, vol.2003, issue.8, pp.780-790, 2003.
DOI : 10.1155/S1110865703303087

P. Soille, Morphological Image Analysis, 2003.

A. Song and V. Ciesielski, Fast texture segmentation using genetic programming, The 2003 Congress on Evolutionary Computation, 2003. CEC '03., pp.2126-2133, 2003.
DOI : 10.1109/CEC.2003.1299935

L. Vincent and P. Soille, Watersheds in digital spaces: an efficient algorithm based on immersion simulations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.6, pp.583-598, 1991.
DOI : 10.1109/34.87344

Y. J. Zhang, A survey on evaluation methods for image segmentation, Pattern Recognition, vol.29, issue.8, pp.1335-1346, 1996.
DOI : 10.1016/0031-3203(95)00169-7

Y. J. Zhang, A review of recent evaluation methods for image segmentation, International Symposium on Signal Processing and its Applications, pp.148-151, 2001.

Y. J. Zhang and J. J. Gerbrands, Segmentation evaluation using ultimate measurement accuracy, Proc. SPIE, Image Processing Algorithms and Techniques III, pp.449-460, 1992.