Geophysical application of multiple frequency fully polarimetric SAR
Bibliographic record
Abstract
Summary form only given. Geophysical processes occur throughout the Earth system including all hydrosphere, atmosphere and Solid Earth. These geophysical processes are monitored using seismic (and acoustic) wave, measuring the changes in the magnetic and gravitational forces across the target areas, or measuring the changes in thermal properties across and surrounding the interested target areas. In this respect, application of synthetic aperture radar (SAR) is relatively limited compared to other geophysical survey methods, because SAR observation and related studies rely on the backscattered microwave signal received from the target surface areas through antennae. However, unlike optical remote sensing data, the additional phase information in addition to the amplitude values of processed SAR images allows us to develop interferometric techniques and also the polarimetric decomposition approaches, with which one can distinguish the scattering characteristics of the scattering target(s). Recent availability of fully polarimetric SAR imaging modes, at several frequencies (currently X-, C- and L-bands), has greatly extended the SAR application potential for various geophysics problems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".