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001     1050442
005     20260113204524.0
024 7 _ |a 10.1109/IWAGPR65621.2025.11109006
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037 _ _ |a FZJ-2026-00212
041 _ _ |a English
100 1 _ |a Li, Bingchao
|0 P:(DE-Juel1)207872
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|e Corresponding author
111 2 _ |a 2025 13th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
|g IWAGPR2025
|c Thessaloniki
|d 2025-07-02 - 2025-07-04
|w Greece
245 _ _ |a Possibilities for Reducing FWI Calculation Costs for GPR Multi-Offset Data
260 _ _ |c 2025
|b IEEE
300 _ _ |a 1-5
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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520 _ _ |a Ground penetrating radar (GPR) is an important shallow geophysical exploration method and can be widely applied in near surface applications. Thereby, the GPR full-waveform inversion (FWI) utilizes all information contained in the data including dynamics and kinematics and therefore has theoretically the highest imaging possibilities. One of the bottlenecks of FWI is its high computational cost and inability to meet the real-time needs for experimental applications. To improve the efficiency of GPR FWI, we provide two methods that can reduce the calculation time. The first is source encoding, which can reduce the number of forward simulations by simultaneously exciting multiple sources in one simulation and mitigating crosstalk noise by encoding the sources. The second is source subsampling, which selects a subset of sources to participate in the inversion, gradually uses more sources during the inversion process, and in the final stage uses all the sources. Numerical experiments show that compared with traditional FWI, both methods effectively reduce the calculation time by providing a similar reconstruction of the medium properties.
536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
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700 1 _ |a Klotzsche, Anja
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700 1 _ |a Van Der Kruk, Jan
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700 1 _ |a Hoven, Dominik
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700 1 _ |a Wang, Xun
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700 1 _ |a Feng, Deshan
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770 _ _ |z 979-8-3315-2335-0
773 _ _ |a 10.1109/IWAGPR65621.2025.11109006
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913 1 _ |a DE-HGF
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