Reconfigurable real-time optronic processor for altitude and look angle adaptability for ENVISAT/ASAR scene observation
Bibliographic record
Abstract
This paper reviews the reconfiguration capabilities of a real time compact optronic SAR processor in order to adapt for changes in altitude and look angles of a SAR system in flight, either airborne or space-based. The optronic processor can be reconfigured instantaneously making it suitable for all application requiring real-time SAR imagery despite modification of flight and orbit parameters. Moreover the system can be fully calibrated during flight or in-orbit providing outstanding ruggedness to environmental constraints. SAR image sets may thus be produced immediately on-demand without bottleneck; that is, the optronic SAR processor processing rate is matched to the SAR system raw data generation rate. These capabilities, combined with the fine ground sampling distances in both azimuth and range directions could provide benefits for such applications as landslide and flood monitoring, snow and ice coverage, glacier monitoring and real-time onboard tracking of events.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".