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Mark David Wigh
Mark David Wigh
PhD
Verified email at space.dtu.dk
Title
Cited by
Cited by
Year
Inference of unexploded ordnance (UXO) by probabilistic inversion of magnetic data
MD Wigh, TM Hansen, A Døssing
Geophysical Journal International 220 (1), 37-58, 2020
302020
High-speed magnetic surveying for unexploded ordnance using UAV systems
ME Kolster, MD Wigh, E Lima Simoes da Silva, T Bjerg Vilhelmsen, ...
Remote Sensing 14 (5), 1134, 2022
222022
Synthetic case study: discrimination of unexploded ordnance (UXO) and non-UXO sources with varying remanent magnetization strength using magnetic data
MD Wigh, TM Hansen, A Døssing
Geophysical Journal International 228 (2), 773-791, 2022
82022
Classification of UXO and non-UXO from magnetic anomaly data: a case study on inversion of drone magnetic data from Rømø, Denmark
MD Wigh, ME Kolster, TM Hansen, A Døssing
Geophysical Journal International 234 (2), 915-932, 2023
22023
Probabilistic inversion of magnetic UXO data: implementing prior UXO data from the North Sea
MD Wigh, A Døssing, TM Hansen
NSG2020 26th European Meeting of Environmental and Engineering Geophysics …, 2020
12020
A probabilistic and machine-learning geophysical approach for characterizing potential Unexploded Ordnance: A magnetometry based study in relation to offshore wind farms in the …
MD Wigh
Technical University of Denmark, 2022
2022
Inference of unexploded ordnance (UXO) by probabilistic inversion of
MD Wigh, TM Hansen, A Døssing
Geophysical Journal International, 0
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