RADARSAT attitude estimates based on Doppler centroid of satellite imagery
Bibliographic record
Abstract
An algorithm is developed for computation of the expected Doppler shift in the returned SAR signal. The Doppler shift is a function of the attitude of the satellite, range time and the position of the satellite in the orbit. The least squares error between the results of the algorithm and the measured Doppler centroid of an image yields the yaw and pitch of the satellite corresponding to the time of the image. Sixteen images, taken after a series of corrections to the attitude control system tables, are analyzed. The resulting yaw and pitch values were -0.15/spl deg//spl plusmn/0.05/spl deg/ and -0.06/spl deg//spl plusmn/0.12/spl deg/. The insensitivity of the calculated yaw and pitch values to small variations in the assumed roll of the satellite is demonstrated.
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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 | 0.000 | 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".