Evaluation of RADARSAT-2 Yaw Steering for SMTI Applications
Bibliographic record
Abstract
RADARSAT-2 is mechanically steered in yaw to provide a measure of earth rotation compensation and thus bring the data Doppler centroids (DC) near zero Hz. The satellite attitude control uses an algorithm whose inputs are GPS measured satellite position and the star-tracker measured attitude of the satellite. The GPS data are used to generate an orbit state vector and the star-tracker data are used to generate an attitude state vector both of which are reported with the radar signal data. Examination of DC distribution and stationary-world phase from along-track interferometry (ATI) from 53 RADARSAT-2 SMTI (Surface Moving Target Indication) scenes has been used to explore systematic and random steering angle discrepancies between radar observations and the reported attitude state vector data. Systematic pointing offset components derived from these data provide an improved earth-rotation compensation model for ocean target measurements.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".