Surface Current Measurement Under Low Sea State Using Dual Polarized X-Band Nautical Radar
Bibliographic record
Abstract
In this paper, a comparison of surface current velocity extraction under low sea state from horizontal and vertical polarized X-band nautical radar image sequences is presented. Three different current retrieval algorithms including the classical least-squares (LS) fitting, a modified iterative least-square fitting routine and an improved normalized scalar product (NSP) method have been employed. An adaptive iteration termination criterion provides optimal times of iteration for the iterative LS method. Variable-search ranges and resolutions are proposed to reduce the computational cost for the NSP method. Field data from two X-band radars deployed during a short experiment at the Skerries Bight near St. John's, Newfoundland is analyzed. Comparison of the results derived from the radar and in-situ buoy data shows that vertical polarization leads to better current measurements than horizontal polarization even under very low sea state. A performance comparison of LS, iterative LS and NSP algorithms indicates that the latter two provide reliable results, with the current measurements from the NSP method being the least variable.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".