Exploring the Elevation Beam Overlap Region in RADARSAT-1 ScanSAR
Bibliographic record
Abstract
ScanSAR has become a well-established method of providing high quality wide-swath coverage using SAR from space. The method involves using multiple antenna elevation syntheses from a single antenna to switch between illuminating successive portions of the augmented swath. In switching between beams, the azimuth history of the beam is usually distributed in bursts for the respective elevation beams so that a partial azimuth history is provided. Issues in radiometry, relating to both elevation and azimuth processing are important in ScanSAR. This paper explores the beam seam issue. Using examples from RADARSAT-1, this radiometrically sensitive region is examined for the requirements on accuracy and consistency of the beam patterns. RADARSAT-1 has four ScanSAR modes and can involve 2, 3 or 4 beam ScanSAR operations. Implications on processing and designing ScanSAR systems are given.
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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) | 0.000 | 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".