J. Boissonnat and M. Yvinec, Algorithmic Geometry, 1998.
DOI : 10.1017/CBO9781139172998

H. Chen and A. G. Cohn, Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data, The 2010 International Joint Conference on Neural Networks (IJCNN), 2010.
DOI : 10.1109/IJCNN.2010.5596298
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.224.8839

M. Ester, H. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96, 1996.

A. Giannopoulos, Modelling ground penetrating radar by GprMax, Construction and Building Materials, vol.19, issue.10, pp.755-762, 2005.
DOI : 10.1016/j.conbuildmat.2005.06.007

K. R. Zalik and B. Zalik, A sweep-line algorithm for spatial clustering, Advances in Engineering Software 40, pp.445-451, 2009.

A. Simi, S. Bracciali, and G. Manacorda, Hough transform based automatic pipe detection for array GPR: Algorithm development and on-site tests, 2008 IEEE Radar Conference, pp.1-6, 2008.
DOI : 10.1109/RADAR.2008.4720763

C. G. Windsor, L. Capineri, and P. Falorni, The Estimation of Buried Pipe Diameters by Generalized Hough Transform of Radar Data, Progress In Electromagnetics Research Symposium, pp.345-349, 2005.
DOI : 10.2529/PIERS041117130829