Progress in the development of the CCRS along-track interferometer
Bibliographic record
Abstract
The CCRS C-band SAR owned and operated by the Canada Centre for Remote Sensing (CCRS) was modified in 1991 to operate in an across-track C-band interferometric mode for derivation of terrain elevation. This mode has now been extended such that the two C-band receivers can be used with two separate, almost identical, antennas aligned in the along-track direction thereby creating a SAR capable of detecting and measuring target radial motion. Two new C(H) antennas have been mounted on the right-hand side of the Convair 580 to form the along-track C-band interferometer. The antennas share a common, rigid, mounting structure and the phase centres are separated by 0.5 m. The primary application for this mode will be in ocean monitoring R&D; SAR wave and wake imaging, measurement of coastal and ocean currents, estimation of pack-ice drift, detection of sub-surface sand waves through current modulation, etc. while the short baseline dictated by the existing radome leads to a relatively low sensitivity to radial motion, approximately 24/spl deg/ per m/s, the time between image formation at the same azimuth geometry is small (less than 2 ms) with respect to typical C-band ocean coherence times (around 50-100 ms). This, combined with a good signal-to-noise ratio, will allow relatively low phase noise on the interferometric products and therefore adequate sensitivity to radial motion for most situations. A description of the new system and of ground and airborne testing are given.>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".