A “New Hybrid” Modeling for Geometric Processing of Radarsat-2 data without User’s GCP
Why this work is in the frame
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Bibliographic record
Abstract
The objective of the research study is to use the synergy of 3D empirical (Rational Function Model (RFM) and physical (Toutin's) geometric models to develop a new model for the geometric processing of Radarsat-2 data without collecting ground control point (GCP). After independently evaluating the processing and the accuracy of each model using accurate differential GPS points, RFM was thus used to generate few virtual RFM points at the highest elevation of the study site. In addition to information of the metadata, these virtual points were input as GCPs in Toutin's model. This new hybrid model consistently achieved pixel accuracy, with better results for steep looking angles than the two other models. Its main advantage was, in addition, to be used without collecting GCP, increasing the applicability of Radarsat-2 data in remote areas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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