3D Geometric Modeling of Radarsat-2 Ultra-Fine Mode Using Differential GPS Data
Bibliographic record
Abstract
The geometry and the accuracy of the three-dimensional (3-D) cartographic localization of RADARSAT-2 images are being evaluated as part of the Canadian Space Agency’s Science and Operational Applications Research program. In a first step, the Toutin’s 3-D physical model, previously developed for Radarsat-1, was adapted to Radarsat-2 sensor and applied to two ultra-fine mode images (U2 and U25) acquired over a hilly area in Beauport, Quebec. Both the 3-D modeling computed with only 8 ground control points and its geometric localization were evaluated with different check data: (1) independent check points; (2) the two quasi-epipolar images; (3) the two ortho-images; and (4) 1-m accurate ortho-photos. All four results and validations are in agreement and confirm that the 3-D geometric localization and restitution accuracy is better than 1.5 m in planimetry and elevation. In addition the relative error computed from the comparison of the quasi-epipolar images provided a high level of confidence that the precision of Toutin’s 3-D radargrammetric model is better than 0.25 m.
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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) | 0.000 | 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 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".