Mathematical morphological analysis of typical cyclone eyes on ocean SAR
Why this work is in the frame
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Bibliographic record
Abstract
Since synthetic aperture radars (SAR) present unique capabilities of measuring the emitted microwave signal response from the sea surface backscatter, they have been widely using in characterizing hurricanes or tropical cyclones. The distinct advantages of ocean SAR imagery enable marine meteorologists to achieve a deeper understanding of catastrophic hurricanes. This study is focused on shape extraction of tropical cyclones (TC) eye areas by introducing mathematical morphology approaches, morphological skeleton and pruning with the aim of ensuring global and local preservation of the precise shape of the eye. These morphological-based analyses are employed explicitly for three representative ocean SAR images with different TC patterns, acquired from Radarsat-1 and Envisat ASAR. The morphological Euclidean skeleton and pruning is based on discrete curve evolution (DCE), resulting in above 92% agreement with the area of coverage derived from reference data.
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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