L. I. Xiaojiang, M. Qingyan, L. I. Weidong, Z. Chuanrong, J. Tamas et al., An explorative study on the proximity of buildings to green spaces in urban areas using remotely sensed imagery, Annals of GIS, vol.20, pp.193-203, 2014.

M. Sébastien and S. Jean, Method and system for estimating a similarity between two binary images, Brev. WO Patent, 2014.

L. I. Xiaojiang, M. Qingyan, G. U. Xingfa, J. Tamas, Y. U. Tao et al., A hybrid method combining pixel-based and object-oriented methods and its application in Hungary using Chinese HJ-1 satellite images, International Journal of Remote Sensing, vol.34, pp.4655-4668, 2013.

M. Sébastien and S. Jean, 3D Reconstruction of Sport Scenes, 3D Video : From Capture to Diffusion, pp.405-420, 2013.

M. Sébastien and S. Jean, Reconstruction 3D de scènes sportives, Vidéo 3D : Capture, traitement et diffusion. Hermès -Lavoisier, pp.217-232, 2013.

M. Sébastien and S. Jean, Procédé et système pour estimer une similarité entre deux images binaires, p.438, 2012.

P. Christophe, M. Sébastien, and S. Jean, Mesure de similarité entre sous-parties de nuages de points 2D, TS. Traitement du signal, vol.29, issue.2, pp.29-49, 2012.

P. Christophe, M. Sébastien, H. Mario, S. Jean, and B. Brian, Earth observation using radar data : an overview of applications and challenges, International Journal of Digital Earth, vol.1, issue.2, pp.171-195, 2008.

P. Gérald, R. Hubert, M. Sébastien, and B. Jean, How do expert soccer players encode visual information to make decisions in simulated game situations ?, In : Research quarterly for exercise and sport, vol.79, pp.392-398, 2008.

M. Sébastien, J. Boï, B. Rémy, and S. Jean, Texture analysis using directional local extrema, Machine Graphics & Vision International Journal, vol.13, pp.1230-0535, 2004.

P. Gérald, B. Jean, M. Sébastien, and R. Hubert, What kind of processes underlie decision making in soccer simulation ? An implicit-memory investigation, In : International Journal of Sport and Exercise Psychology, vol.1, pp.390-405, 2003.

M. Sébastien and S. Jean, 3D medical imaging : from 2D images to 3D models, Journal of Medical Informatics & Technologies, vol.3, pp.7-15, 2002.

. Conférences,

G. Rémi, M. Sébastien, S. Jean, N. Belanger, and A. Guillaume, A vision-based assistance key differenciator for helicopters automonous scalable missions, 20th Towards Autonomous Robotic Systems Conference, TAROS, 2019.

M. Antoine, K. Nacer, M. Sirdi, M. Sébastien, V. Guillaume et al., Adaptive Prediction for Ship Motion in Rotorcraft Maritime Operations, 5th CEAS Conference on Guidance, Navigation and Control -EuroGNC19, 2019.

Z. Pierre, M. Sébastien, S. Jean, A. Guillaume, N. Belanger et al., Embedding intelligent image processing algorithms : the new safety enhancer for helicopters missions, 44th European Rotorcraft Forum -ERF 2018, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02095941

H. Dongmei, W. Yan, S. Wei, S. Jean, and M. Sébastien, Shallow-water Image Enhancement Using Relative Global Histogram Stretching Based on Adaptive Parameter Acquisition, 24th International Conference on Multimedia Modeling -MMM2018, 2018.

Z. Pierre, M. Sébastien, and S. Jean, Ellipse Detection in Very Noisy Environment, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01569103

J. Zhang, M. Sébastien, M. Qingyan, S. Jean, and Y. Zhang, Using mathematical morphology on lidar data to extract information from urban vegetation, IGARSS. Beijing, China, juil, 2016.

D. Marc, G. Cédric, &. Sébastien, and P. Et-arnaud, Réalité virtuelle et manipulation de surfaces B-splines, Journées du GTMG, pp.121-126, 2012.

M. Sébastien, P. Christophe, and S. Jean, Characterization of Similar Areas of Two 2D Point Clouds, Advances in Visual Computing, pp.509-516, 2012.

G. Florian, S. Jean, and M. Sébastien, Real-time Walkthrough Rendering -Speed Improvement of Photon Mapping Algorithm, Proceedings of the International Conference on Computer Graphics Theory and Applications

I. Rome, , pp.291-298, 2012.

P. Christophe, M. Sébastien, and S. Jean, A new geometric invariant to match regions within remote sensing images of different modalities, SPIE Remote Sensing. International Society for Optics et Photonics, pp.818003-818003, 2011.

P. Christophe, M. Sébastien, and S. Jean, Mesure de similarité entre sous-parties de nuages de points 2D, TAIMA'11 Ateliers francophones sur le Traitment et l'analyse de l'information, méthodes et applications. Hammamet, Tunisie, 2011.

P. Christophe, M. Sébastien, and S. Jean, A new approach for registering remote sensing images from various modalities, SPIE Europe Remote Sensing. International Society for Optics et Photonics, pp.74770-74770, 2009.

Z. Bachir, R. Hubert, L. Ludovic, M. Sébastien, and S. Jean, SimulFoot : un outil technologique pour l'analyse et la formation tactique en football, Visions prospectives du professionnalisme sportif en Algérie, 2009.

L. Ludovic, M. Sébastien, P. Sébastien, P. Dias, and S. Jean, Camera location and aperture characterization using the transformation between a 2D plane and the image captured by the camera, Image Analysis and Recognition, pp.385-394, 2008.

P. Christophe, M. Sébastien, and S. Jean, SAR image registration using a new approach based on the generalized hough transform, 2008.

R. Hubert, L. Ludovic, M. Sébastien, Z. Bachir, and S. Jean, SimulFoot entraînement, un outil de simulation pour les entraîneurs et les joueurs, 3ème Colloque International Football & Recherches, 2008.

M. Sébastien, P. Dias, and S. Jean, 3D reconstruction of soccer sequences using non-calibrated video cameras, Image Analysis and Recognition

H. Springer-berlin, , pp.1254-1264, 2007.

L. E. Arnaud, . Troter, M. Sébastien, J. Boi, and S. Jean, Automatic Landmark Detection and Validation in Soccer Video Sequences, Computer Vision and Graphics, pp.774-779, 2007.

L. E. Arnaud, . Troter, M. Sébastien, J. Boi, and S. Jean, Segmentation d'images en plages de couleurs dominantes, TAIMA'05 Ateliers francophones sur le Traitment et l'analyse de l'information, méthodes et applications. Hammamet, Tunisie, 2005.

L. E. Arnaud, . Troter, M. Sébastien, and S. Jean, Soccer field detection in video images using color and spatial coherence, Image Analysis and Recognition

H. Springer-berlin, , pp.265-272, 2004.

L. E. Arnaud, . Troter, M. Sébastien, and S. Jean, Automatic selection of a region of interest in 3D scene images : application to video captured scenes, Advanced Concepts for Intelligent Vision Systems (ACIVS), 2004.

R. Hubert, L. E. Arnaud, . Troter, B. Jean, M. Sébastien et al., The interest of simulation for research and training in sport : the example of football, Proceedings of the Third International Sport Sciences Days, 2004.

R. Hubert, L. E. Arnaud, . Troter, B. Jean, M. Sébastien et al., Un simulateur pour l'entraînement en football, Journées Internationales des Sciences du Sport (INSEP), 2004.

M. Sébastien, B. Jean, and S. Jean, Analyzing team sport strategies by means of graphical simulation, ICISP 2003, 2003.

M. Sébastien and B. Jean-marc, Texture analysis and scientific visualization, SPIE Electronic Imaging, pp.115-124, 2003.

M. Sébastien, B. Jean, and S. Jean, Reconstruction and simulation of soccer sequences, 2003.

R. Hubert, A. Christophe, and M. Sébastien, Mechanisms involved in the change of point of view into a 3D-image simulation in sport, 2003.

M. Sébastien, J. Boi, and S. Jean, Texture analysis using directional local extrema, International Conference on Computer Vision and Graphics (ICCVG), 2002.

M. Sébastien, J. Boi, B. Rémy, and S. Jean, Toward the characterization of directional texture classes, Proceedings of the 12th Portuguese Conference on Pattern Recognition, vol.39, pp.294-312, 1985.

F. Allard, S. Graham, and M. E. Paarsalu, Perception in sport: Basketball, Journal of Sport Psychology, vol.2, pp.14-21, 1980.

J. R. Anderson, The architecture of cognition, 1983.
URL : https://hal.archives-ouvertes.fr/hal-00699788

N. Charness, Components of skill in bridge, Canadian Journal of Psychology, vol.33, pp.1-16, 1979.

W. G. Chase and H. A. Simon, Perception in chess, Cognitive Psychology, vol.4, pp.55-81, 1973.

A. M. Collins and E. F. Loftus, A spreading activation theory of semantic processing, Psychological Review, vol.82, pp.407-428, 1975.

J. Costermans, Les activités cognitives, 2001.

G. Davis, V. L. Welch, A. Holmes, and A. Shepherd, Can attention select only a fixed number of objects at a time? Perception, vol.30, pp.1227-1248, 2001.

D. J. Garland and J. R. Barry, Cognitive advantage in sport: The nature of perceptual structures, American Journal of Psychology, vol.104, pp.211-228, 1991.

F. Gobet, Les mémoires d'un joueur d'échecs, 1993.

S. Fribourg, Éditions Universitaires

F. Gobet, Expert memory: A comparison of four theories, Cognition, vol.66, pp.115-152, 1998.

F. ;. Gobet, F. Gobet, and H. A. Simon, Templates in chess memory: A mechanism for recalling several boards, Paper presented at the 23rd Meeting of the Cognitive Science Society, vol.31, pp.1-40, 1996.

R. Poplu, M. , B. Hochberg, and J. , On cognition in perception: Perceptual coupling and unconscious inferences, Cognition, vol.10, pp.127-134, 1981.

H. Intraub, The representation of visual scenes, Trends in Cognitive Sciences, vol.1, pp.217-222, 1997.

S. Mavromatis, J. Baratgin, and J. Sequeira, Toward the design of a simulator to analyze team sport strategies, 2003.

T. P. Mcnamara, Theories of priming: I. Associative distance and lag, Journal of Experimental Psychology: Learning, vol.18, pp.1173-1190, 1992.

G. Poplu, J. Baratgin, S. Mavromatis, and H. Ripoll, What kind of processes underlie decision making in soccer simulation? An implicit memory investigation, International Journal of Sport and Exercise Psychology, vol.1, pp.390-405, 2003.
URL : https://hal.archives-ouvertes.fr/hal-01286207

G. Poplu, E. Laurent, J. Baratgin, and H. Ripoll, Modalités d'encodage perceptif de configurations de jeu de basket-ball, Proceedings of the International Congress of the French Society of Sport Psychology, pp.290-291, 2000.

H. Ripoll, J. Baratgin, E. Laurent, P. Courrieu, and T. Ripoll, Mechanisms underlying the activation of knowledge bases in the identification of basketball play configurations by expert and non-expert players, In the dawn of the new millennium: Proceedings of the 10th World Congress of Sport Psychology, vol.2, pp.283-285, 2001.

L. Saitta and J. D. Zucker, A model of abstraction in visual perception, Applied Artificial Intelligence, vol.15, pp.761-776, 2001.
URL : https://hal.archives-ouvertes.fr/hal-01184259

D. L. Schacter, Implicit memory: History and current status, Journal of Experimental Psychology: Learning, Memory, and Cognition, vol.13, pp.501-518, 1987.

J. A. Sloboda, Visual perception of musical notation: Registering pitch symbols in memory, Quarterly Journal of Experimental Psychology, vol.28, pp.1-16, 1976.

E. Tulving and D. L. Schacter, Priming and human memory systems, Science, vol.247, pp.301-306, 1990.

A. M. Williams, K. Davids, L. Burwitz, and J. G. Williams, Cognitive knowledge and soccer performance, Perceptual and Motor Skills, vol.76, pp.579-593, 1993.

A. M. Williams, K. Davids, and J. G. Williams, Visual perception and action in sport, 1999.

A. M. Williams and A. Grant, Training perceptual skill in sport, International Journal of Sport Psychology, vol.30, pp.194-220, 1999.

A. M. Williams and J. S. North, Some constraints on recognition performance in soccer, Perspectives on cognition and action

P. (. Scientifioue, ;. Fr)-notice, and . Glier, , vol.348, p.149, 2002.

. Bradley, , 2004.

.. .. Hara, , p.12, 2009.

. Wang, , vol.382, p.218, 2010.

;. Appl and . Filed, , vol.518, 2012.

, S371 (c), issue.1

. Pct, . Xp055004590, and . Shams, Gradient Intensity: A New Mutual Information-Based Registration Method, Biennial Conference of the Australian Pattern Recogni tion Society on Digital Image Computing Techniques and Applica tions, vol.9, p.14655, 2007.

. Gottesfeld, A Survey of Image Registration Techniques, ACM Computing Surveys, pp.325-376, 1992.

Q. Jia, « A Fast Ellipse Detector Using Projective Invariant Pruning, IEEE Transactions on Image Processing, vol.26, pp.3665-3679, 2017.

A. Fitzgibbon, M. Pilu, and R. B. Fisher, « Direct Least Square Fitting of Ellipses, IEEE Trans. Pattern Anal. Mach. Intell. 21, vol.5, pp.476-480, 1999.

G. Braak and . Van-den, « Fast Hough Transform on GPUs : Exploration of Algorithm Trade-Offs ». In : Advanced Concepts for Intelligent Vision Systems, pp.611-622, 2011.

S. Tagzout, A. Karim, and D. Oualid, « Hough transform algorithm for FPGA implementation, Signal Processing 81, vol.6, pp.1295-1301, 2001.

, European Rotorcraft Forum, 2018.

, This work is licensed under the Creative Commons Attribution International License (CC BY). Copyright © 2018 by author(s)

P. V. Hough, Machine Analysis of Bubble Chamber Pictures, pp.554-558, 1959.

H. K. Yuen, J. Illingworth, and J. Kittler, « Detecting partially occluded ellipses using the Hough transform, Image and Vision Computing, pp.31-37, 1989.

S. Zhang and L. Et-zhi-qiang, «A robust, real time ellipse detector, Pattern Recognition38, vol.2, pp.273-287, 2005.

R. &. Haralick, . Shanmugam, and I. Dinstein, Textural Features for Image Classification, IEEE Trans Syst Man Cybern. SMC, vol.3, pp.610-621, 1973.

C. Chien, Y. Cheng, and L. Ta-te, « Robust ellipse detection based on hierarchical image pyramid and Hough transform, Journal of the Optical Society of America A, vol.28, p.581, 2011.

. Tsuji and . Matsumoto, « Detection of Ellipses by a Modified Hough Transformation, IEEE Transactions on Computers C-27, vol.8, pp.777-781, 1978.

E. Kim, H. Miki, and K. Hideo, « Fast and Robust Ellipse Extraction from Complicated Images, Proceedings of the IEEE International Conference on Information Technology and Applications, 2002.

S. &. Lee, . Jang, and K. Baek, « Implementation of visionbased real time helipad detection system, pp.191-194, 2012.

C. Patruno, M. Nitti, E. Stella, and T. Orazio, , 2017.

. Prakash and S. Chandran, Autonomous Robust Helipad Detection Algorithm Using Computer Vision, 2016.

A. Rodriguez-ramos, C. Sampedro, H. Bavle, Z. Milosevic, A. Garcia-vaquero et al., Towards fully autonomous landing on moving platforms for rotary Unmanned Aerial Vehicles, 2017 International Conference on Unmanned Aircraft Systems (ICUAS), pp.170-178, 2017.

P. Zoppitelli, S. Mavromatis, and J. Sequeira, Ellipse detection in very noisy environment, International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp.31-40, 2017.

C. A. Basca, M. Talos, and R. Brad, , 2005.

. «-randomized and . Hough, Transform for Ellipse Detection with Result Clustering, EUROCON 2005 -The International Conference on