Ship detection performance assessment for simulated RCM SAR data
Bibliographic record
Abstract
In this paper, we introduce the first analysis of ship detection performance using simulated RADARSAT Constellation Mission (RCM) data in the Ship Detection, Low and Medium Resolution modes. The ship detection performance is assessed for a number of linear and compact polarimetric (CP) dual-polarimetric (dual-pol) systems data simulated from RADARSAT-2 Fine quad mode in the three RCM modes. The impact of the ship orientation with respect to the radar beam and the effect of the imaging mode incidence angle on the ship detection performance are investigated. It has been found that the compact polarimetric SAR detectors outperform the linear dual-pol ones at all RCM modes for medium to high beam incidence angle range. The study findings suggest that the three RCM modes generally and the Ship Detection mode in particular are promising compromise between high ship detection performance and the wide swath width desired for ship surveillance application when acquired with medium to high incidence angle beams.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".