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Published in 2019 at "Pure and Applied Geophysics"
DOI: 10.1007/s00024-019-02155-x
Abstract: In this paper, we present a robust 2-D self-potential (SP) inversion algorithm that has proven to be suitable for both environmental and hydrogeological applications. The work proposed here continues from the recent advances in theoretical…
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Keywords:
data inversion;
inversion environmental;
inversion;
self potential ... See more keywords
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Published in 2021 at "Cold Regions Science and Technology"
DOI: 10.1016/j.coldregions.2020.103198
Abstract: Abstract A model-data inversion is applied to an extensive observational dataset collected in the Southern Ocean north of the Ross Sea during late autumn to early winter, producing estimates of the frequency-dependent rate of dissipation…
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Keywords:
data inversion;
sea ice;
model data;
dissipation ... See more keywords
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Published in 2024 at "Laser Physics Letters"
DOI: 10.1088/1612-202x/ad914c
Abstract: This work demonstrates the fundamental possibility of solving quite large-scale problems of seismic data inversion on modern hybrid (quantum-classical) and quantum-inspired annealers using the example of a one-dimensional problem for a horizontally layered model of…
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Keywords:
problem;
seismic data;
data inversion;
optimization problem ... See more keywords
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Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2779788
Abstract: Ground penetrating radar imaging from the data acquired with arbitrarily oriented dipole-like antennas is considered. To take into account variations of antenna orientations resulting in spatial rotation of antenna radiation patterns and polarizations of transmitted…
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Keywords:
data inversion;
inversion;
implementation gpr;
method ... See more keywords
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Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3245589
Abstract: Magnetotelluric (MT) data inversion reconstructs an electrical resistivity structure most compatible with the observed MT data, and static correction can remove the undesired static shift effect in MT data. Conventional MT data static shift correction…
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Keywords:
intelligent data;
inversion;
data static;
inversion method ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3546212
Abstract: With limited annotated data, the existing deep learning-based ground-penetrating radar (GPR) data inversion methods have difficulty effectively reconstructing the relative permittivity (RP) of subsurface defects. To address this issue, a GPR data inversion method based…
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Keywords:
deep learning;
method;
defect;
data inversion ... See more keywords