Assessment and Calibration of RCM Compact-Hybrid Modes
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Bibliographic record
Abstract
The RADARSAT Constellation Mission (RCM) is equipped with three SAR satellites (RCM1, RCM2 and RCM3) flying in a constellation configuration. Each SAR is equipped with Compact polarimetry (CP) capabilities. It is now admitted that the actual SAR technology does not permit the generation of a perfectly circular polarization and this may significantly affect CP information [1], [2]. Recently, a new CP calibration model [2], which explicitly takes into account the non-circularity of transmitted polarization, in addition to polarimetric antenna distortion matrix and channel imbalances, was introduced and validated using ALOS2 CP data. In this study, the Touzi CP calibration model [2] is extended to the RCM. The high isolation of RCM antennas (cross-talk lower than -40 dB) permits a simplification of the Touzi CP model and its use as the basis of a convenient method for measurement of RCM CP axial ratio (AR) using Amazonian rainforests. The Touzi CP calibration model is also used to setup the requirements on CP calibration. These new requirements on CP calibration lead to the conclusion that the current RCM calibration meets the CP requirements for all the RCM beams with AR lower (or equal) than 0.5 dB (5m-CP2-to-14, and 30mSC beams within the incidence angle range 20° -to- 43°). A new calibration method based on the Touzi RCM CP-calibration model is developed (and validated) for the correction of the non-circularity of RCM CP beams with AR larger than 0.5dB.
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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) | 0.000 | 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 it