A General Method for the Calibration of the C-band Convair-580 SAR
Bibliographic record
Abstract
A general polarimetric model which includes systems whose receiving configuration is independent of the transmitted polarization (one configuration), as well as systems with two distinct receiving configurations, was introduced in [9]. This model was used to develop a calibration method for early X-band polarimetric SAR developed at Canada Centre for Remote Sensing (CCRS) [9]. A simplified method was adapted for the C-band SAR system that is equipped with polarization switches with high isolation (better than 50 dB) [4], [2]. This method leads to an accuracy of 1 to 2 dB in radiometry and 5°in phase, for incidence angles within ±20°from the antenna boresight angle. Tests run on various data sets lead to the conclusion that the Convair-580 SAR system is quite stable in short-term, but is not over the long-term. This requires the deployment of reference point targets during each flight. On the other hand, several data sets demonstrated the existence from time to time of a significant cross-talk term. It is shown that the general calibration method of [9] can still be applied to retrieve pure polarizations from the distorted measurements, and provide an assessment of the system distortion matrix during data acquisition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".