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Mark David Wigh
Mark David Wigh
PhD
space.dtu.dk의 이메일 확인됨
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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
232022
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
92022
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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