3D Buried Utility Location Using A Marching-Cross-Section Algorithm for Multi-Sensor Data Fusion

We address the problem of accurately locating buried utility segments by fusing data from multiple sensors using a novel Marching-Cross-Section (MCS) algorithm. Five types of sensors are used in this work: Ground Penetrating Radar (GPR), Passive Magnetic Fields (PMF), Magnetic Gradiometer (MG), Low...

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Detalles Bibliográficos
Autores principales: Dou, Qingxu, Wei, Lijun, Magee, Derek R., Atkins, Phil R., Chapman, David N., Curioni, Giulio, Goddard, Kevin F., Hayati, Farzad, Jenks, Hugo, Metje, Nicole, Muggleton, Jennifer, Pennock, Steve R., Rustighi, Emiliano, Swingler, Steven G., Rogers, Christopher D. F., Cohn, Anthony G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134486/
https://www.ncbi.nlm.nih.gov/pubmed/27827836
http://dx.doi.org/10.3390/s16111827

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134486/
https://www.ncbi.nlm.nih.gov/pubmed/27827836
http://dx.doi.org/10.3390/s16111827

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