Buried utility pipeline mapping based on street survey and ground penetrating radar

Frontiers in Artificial Intelligence and Applications

Volumn 215, Issue , 2010, Pages 987-988

  Chen, Huanhuan ^a   Cohn, Anthony G ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GEOLOGICAL SURVEYS;

BURIED UTILITIES; GROUND PENETRATING RADAR;

GROUND PENETRATING RADAR SYSTEMS;

EID: 77956021625     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-606-5-987     Document Type: Conference Paper

References (3)

1. H. Chen and A. G. Cohn, 'Probabilistic conic mixture model and its applications to mining spatial ground penetrating radar data', in Workshops in SIAM Conference on Data Mining (SDM10), (2010).
2. H. Chen and A. G. Cohn, 'Probabilistic robust hyperbola mixture model for interpreting ground penetrating radar data', in IEEE World Congress on Computational Intelligence (WCCI'10), (2010).
3. A. Royal, C. Rogers, P. Atkins, M. Brennan, D. Chapman, A. Cohn, P. Lewin, N. Metje, J. Muggleton, S. Pennock, et al., 'Briefing: stakeholder perspectives of buried utility mapping', Proceedings of the ICEMunicipal Engineer, 163(1), 3-7.