Bibliographic record
Abstract
The synthetic aperture radar sensor on the ENVISAT remote sensing satellite will utilize a data reduction system called Flexible Block Adaptive Quantization (FBAQ). This technology will allow the 8 bits/sample SAR signal data to be reduced to 4, 3, or 2 bits/sample, as specified by the mission controller. For wave mode operation, in which small SAR "vignettes" are acquired over oceanic regions, the 8 to 2 bits/sample mode of FBAQ must be employed due to on-board storage limitations. The authors quantitatively evaluate the effect of the FBAQ data reduction on the power spectra of the vignettes, obtained using ESA wave mode processing methods. Using ERS-1 SAR signal data modified to reflect the properties of ENVISAT SAR data, the authors show that the use of the 2-bit FBAQ algorithm will yield power spectra results better than those currently available from ERS-1, with the degree of improvement dependent on the distribution shape of the SAR signal data and the radiometric variation within the vignette.
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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) | 0.003 | 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".