Multilook polarimetric SAR data probability density function estimation using a generalized form of multivariate K-distribution
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Bibliographic record
Abstract
In our previous work, the probability density function (pdf) of single-channel synthetic aperture radar (SAR) data was modelled as a generalized form of the univariate K-distribution in order to incorporate higher order moments in the pdf estimation. In this paper, we extend this univariate model to the multivariate case, the objective being the sample covariance matrix pdf estimation of multilook polarimetric SAR data. Applying the product model, and assuming the texture distribution as the Laguerre expansion of the gamma distribution, we derive this pdf, which is a generalized form of the well-known multivariate K-distribution. The resulting distributions are assessed quantitatively with respect to multilook fully polarimetric L-band SAR image data from which we conclude that the proposed pdf demonstrates an improved goodness of fit.
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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 | 0.001 | 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