A. Katartzis and H. Sahli, A Stochastic Framework for the Identification of Building Rooftops Using a Single Remote Sensing Image, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.1, pp.259-271, 2008.
DOI : 10.1109/TGRS.2007.904953

P. Zhong and R. Wang, A Multiple Conditional Random Fields Ensemble Model for Urban Area Detection in Remote Sensing Optical Images, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.12, pp.3978-3988, 2007.
DOI : 10.1109/TGRS.2007.907109

N. M. Gotts, J. M. Gooday, and A. G. Cohn, A Connection Based Approach to Common-sense Topological Description and Reasoning, Monist, vol.79, issue.1, pp.51-75, 1996.
DOI : 10.5840/monist19967913

M. Pesaresi and J. A. Benediktsson, A new approach for the morphological segmentation of high-resolution satellite imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.39, issue.2, pp.309-320, 2001.
DOI : 10.1109/36.905239

A. Del-pobil, M. Escrig, and J. Jan, An attempt towards a general representation paradigm for spatial reasoning, Proceedings of IEEE Systems Man and Cybernetics Conference, SMC, pp.215-220, 1993.
DOI : 10.1109/ICSMC.1993.384748

B. Bennett, A. G. Cohn, and A. Isli, Combining multiple representations in a spatial reasoning system, Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence, pp.314-322, 1997.
DOI : 10.1109/TAI.1997.632271

J. Wang and S. Liu, A research for visual reasoning, Proceedings of 1993 IEEE Conference on Tools with Al (TAI-93), pp.408-411, 1993.
DOI : 10.1109/TAI.1993.633988

A. G. Cohn and S. M. Hazarika, Qualitative spatial representation and reasoning: An overview, Fundamenta Informaticae, vol.46, issue.12, pp.1-29, 2001.
DOI : 10.1007/3540634932_1
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.5832

G. Ligozat and J. Renz, Weak composition for qualitative spatial and temporal reasoning, Constraint Programming, pp.534-548, 2005.
URL : https://hal.archives-ouvertes.fr/hal-01487493

J. Renz, On the complexity of qualitative spatial reasoning: A maximal tractable fragment of the Region Connection Calculus, Artificial Intelligence, vol.108, issue.1-2, pp.69-123, 1999.
DOI : 10.1016/S0004-3702(99)00002-8

M. J. Egenhofer, Deriving the Composition of Binary Topological Relations, Journal of Visual Languages & Computing, vol.5, issue.2, pp.133-149, 1994.
DOI : 10.1006/jvlc.1994.1007

A. Cohn and S. Hazarika, Qualitative spatial representation and reasonning : an overview, Fundamenta Informaticae, vol.43, pp.2-32, 2001.

T. Bittner and J. G. Stell, Approximate qualitative spatial reasoning, Spatial Cognition and Computation, vol.2, issue.4, pp.435-466, 2002.
DOI : 10.1023/A:1015598320584

G. Ligozat and J. Renz, What Is a Qualitative Calculus? A General Framework, PRICAI, pp.53-64, 2004.
DOI : 10.1007/978-3-540-28633-2_8
URL : https://hal.archives-ouvertes.fr/hal-01487502

Z. C. David, A. Randell, and A. G. Cohn, A spatial logic based on regions and connection, 3rd International Conference on knowledge representation and reasonning, pp.165-176, 1992.

C. L. Chen, Z. Li, and C. Gold, Describing topological relations with voronoi-based 9-intersections model, pp.4-14, 2000.

F. Laporterie, Représentations hiérarchiques d'images avec des pyramides morphologiques Application l'analyse et la fusion spatiotemporelle de données en observation de la terre, Thèse de Doctorat, ´ Ecole Nationale Supérieure de l'Aéronautique et de l'Espace, 2002.

J. Buhmann, J. Lange, C. Von, and . Malsburg, Distortion invariant object recognition by matching hierarchically labeled graphs, International Joint Conference on Neural Networks, pp.155-159, 1989.
DOI : 10.1109/IJCNN.1989.118574

L. Wiskott, J. Fellous, N. Kruger, C. Von, and . Malsburg, Face recognition by elastic bunch graph matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.7, pp.775-779, 1997.
DOI : 10.1109/34.598235

J. Buhmann, M. Lades, C. Von, and . Malsburg, Size and distortion invariant object recognition by hierarchical graph matching, 1990 IJCNN International Joint Conference on Neural Networks, pp.411-416, 1990.
DOI : 10.1109/IJCNN.1990.137747

W. Li and N. M. Nasrabadi, Object recognition based on graph matching implemented by a Hopfield-style neural network, International Joint Conference on Neural Networks, pp.287-290, 1989.
DOI : 10.1109/IJCNN.1989.118712

H. Bunke, Graph matching for visual object recognition, Spatial Vision, vol.13, issue.2, pp.335-340, 2000.
DOI : 10.1163/156856800741153

A. Sanfeliu, R. Alquézar, J. Andrade, J. Climent, F. Serratosa et al., Graph-based representations and techniques for image processing and image analysis, Pattern Recognition, vol.35, issue.3, pp.639-650, 2002.
DOI : 10.1016/S0031-3203(01)00066-8

C. M. Cyr and B. B. Kimia, 3D object recognition using shape similiarity-based aspect graph, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.254-261, 2001.
DOI : 10.1109/ICCV.2001.937526

L. B. Shams, M. J. Brady, and S. Schaal, Graph matching vs mutual information maximization for object detection, Neural Networks, vol.14, issue.3, pp.345-354, 2001.
DOI : 10.1016/S0893-6080(00)00099-X

X. Yan, P. S. Yu, and J. Han, Substructure similarity search in graph databases, Proceedings of the 2005 ACM SIGMOD international conference on Management of data , SIGMOD '05, pp.766-777, 2005.
DOI : 10.1145/1066157.1066244

H. Bunke and K. Shearer, A graph distance metric based on the maximal common subgraph, Pattern Recognition Letters, vol.19, issue.3-4, pp.255-259, 1998.
DOI : 10.1016/S0167-8655(97)00179-7

P. Champin and C. Solnon, Measuring the Similarity of Labeled Graphs, Case-Based Reasoning Research and Development, pp.80-95, 2003.
DOI : 10.1007/3-540-45006-8_9

S. Sorlin and C. Solnon, Reactive Taboo Search for Measuring Graph Similarity, " in Graph-Based Representations in Pattern Recognition, Lecture Notes in Computer Science, pp.172-182, 2005.

J. Inglada and J. Michel, Spatial reasoning and multiscale segmentation for object recognition in HR optical remote sensing images, 2007 IEEE International Geoscience and Remote Sensing Symposium, 2007.
DOI : 10.1109/IGARSS.2007.4423934

M. K. Hu, Visual Pattern Recognition by moment invariants, IEEE Transactions on Information Theory, vol.8, issue.2, pp.179-187, 1962.

J. Flusser, On the independence of rotation moment invariants, Pattern Recognition, vol.33, issue.9, pp.1405-1410, 2000.
DOI : 10.1016/S0031-3203(99)00127-2

J. Inglada, Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features, ISPRS Journal of Photogrammetry and Remote Sensing, vol.62, issue.3, pp.236-248, 2007.
DOI : 10.1016/j.isprsjprs.2007.05.011

C. Tison, N. Pourthié, and J. Souyris, Target recognition in SAR images with Support Vector Machines (SVM), 2007 IEEE International Geoscience and Remote Sensing Symposium, 2007.
DOI : 10.1109/IGARSS.2007.4422829

G. P. Penney, J. Weese, J. A. Little, P. Desmedt, D. L. Hill et al., A comparison of similarity measures for use in 2-D-3-D medical image registration, IEEE Transactions on Medical Imaging, vol.17, issue.4, pp.586-595, 1998.
DOI : 10.1109/42.730403

M. Holden, D. L. Hill, E. R. Denton, J. M. Jarosz, T. C. Cox et al., Voxel Similarity Measures for 3D Serial MR Brain Image Registration, Information Processing in Medical Imaging 1999 (IPMI'99), A. Kuba, M. Samal, and A. Todd-Pkropek, pp.472-477, 1999.
DOI : 10.1007/3-540-48714-X_48
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.80.3387