Caractérisation des types d'occupation du sol en milieu urbain à partir de l'imagerie Radarsat-1 et -2: Approche texturale
Bibliographic record
Abstract
Cette etude vise a tester la pertinence des images radar a synthese d'ouverture (RSO) de moyenne et de haute resolution a la caracterisation des types d'occupation du sol en milieu urbain a partir d'une approche texturale. Plus specifiquement, on recherche les parametres de texture les plus pertinents pour discriminer les objets urbains. A cet egard, ont ete utilisees, des images Radarsat-1 en mode fin en polarisation HH et Radarsat-2 en mode fin en double et quadruple polarisation et en mode ultrafin en polarisation HH. Les occupations du sol recherchees etaient le bâti dense, le bâti de densite moyenne, le bâti de densite faible, le bâti industriel et institutionnel, la vegetation de faible densite, la vegetation dense et l'eau. Neuf parametres de texture ont ete analyses, et regroupes en familles selon leur definition mathematique. Les parametres de ressemblance et (ou) de dissemblance regroupent l'homogeneite, le contraste, le moment differentiel inverse et la dissimilarite. Les parametres de desordre...
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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".