MétaCan
Menu
Back to cohort
Record W2299462031 · doi:10.14288/1.0053005

Revealing the effects of subsurface structure on the antenna coupling of ground penetrating radar

2009· article· en· W2299462031 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGround-penetrating radarGeologyRemote sensingAntenna (radio)RadarCoupling (piping)SeismologyTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

The character (amplitude, phase, frequency, and polarization) of a reflection in a ground penetrating radar (GPR) profile contains a wealth of information about the reflector. However, most of the current research relating reflection strength to material properties, such as soil moisture and the existence of contaminants, involves only single—parallel—component data. This scalar view of a vector phenomenon leaves most of the information contained in the reflected wavelet untapped. Moreover, an amplitude anomaly in the parallel component may be largely, or at least in part, due to a polarization anomaly. This polarization contribution is ignored by the common scalar approach which attributes the anomaly entirely to such properties as water saturation or a suspected contaminant plume. Anomalous polarization degrades the receiver antenna coupling due to a lower polarization match between antenna and wavelet. Usually more obvious, are the coupling changes due to material/structural variations within the near-field which affect antenna properties. Before character analysis can be applied reliably, the effects of variable antenna coupling must be considered. A theoretical review of the effect of ground conditions on antenna radiation patterns, and also of wavelet depolarization, provides the GPR interpreter with the insight to recognize coupling effects in the data. When a survey traverses into material having significantly higher dielectric constant, the antenna centre frequency decreases, and the radiation pattern directivity increases due to a narrower beamwidth and possibly smaller side lobes. The possible effect in the data is lower energy from out of the plane scatterers and a decrease in the maximum dip that can be imaged. An increase in conductivity will decrease the radiated power and the accompanying dispersion will smear the radiation pattern nodes, resulting in a more omnidirectional radiation pattern for pulse antennas. Wavelet depolarization occurs, to some degree, for most cases of reflection and refraction. The severity of depolarization depends on the contrast in electrical properties, incident angle, incident polarization, and the orientation of the reflecting area. Generally, wavelet depolarization increases with an increase in reflector asymmetry, such as in scattering geometry, continuity, roughness, and anisotropy. To estimate the power loss in the parallel component due to anomalous polarization, an instantaneous polarization match estimate was developed and applied to field data from two test sites of different structural complexity. In this initial investigation, the TM survey mode was confirmed to suffer a greater degree of depolarization resulting in degraded coupling compared to the TE survey mode. Generally, degraded coupling was also observed at reflector rough spots (a 5 - 20% power loss) and at points of wavefront interference. Although the polarization coupling is probably a second order effect for most cases, at least one situation was documented in 1974 where depolarization was a first order effect causing the parallel component to be extinguished. Additional target types and environments should be investigated for their depolarizing characteristics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.621

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.175
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it