Speckle Noise Pedestal In The Spectra Of SAR Imagery Of The Ocean
Bibliographic record
Abstract
The shape of the speckle noise pedestal inherent to the spectra of synthetic aperture radar (SAR) imagery of the ocean is being analyzed on the basis of Canadian satellite RADARSAT-2 data as well as with numerical modeling. It was shown that in centrally symmetric SAR image spectra the pedestal is on average close to an elliptical cone with a slightly smoothed apex at the origin and a base with semi-axes lengths inversely proportional to nominal sizes of SAR resolution cell. This shape is retained both for longitudinal and transverse probing with respect to the direction ocean wave propagation. With increasing ocean wave intensity, the height of the speckle noise cone increases and, thus, the speckle noise energy is mostly concentrated in the low frequency region of the image spectrum, i.e. in the field of large ocean waves.
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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) | 0.001 | 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 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".