Using JPEG data compression for remote moving window display
Bibliographic record
Abstract
CCRS operates two remote sensing data satellite receiving ground stations (one in Prince Albert, Saskatchewan and the other in Cantley, Quebec), capable of receiving RADARSAT data, which are geographically distant from the RADARSAT mission control and data processing centres. In order to provide sensor data quickly and downlink quality assessment to the mission control centre and for other time-critical monitoring applications (quality assurance, ice monitoring, etc.), CCRS has developed two FastScan systems with industry. Each Fastscan is capable of processing the RADARSAT downlinked data into imagery and generates a moving window display (MWD) in real-time. The MWD imagery is also JPEG compressed into digital browse imagery which is suitable for electronic transmission to a remote site immediately following downlink reception. At the remote site, these JPEG files will then be re-assembled back and displayed on a MWD station as a complete swath, simulating a near real-time reduced resolution MWD. This paper describes the hardware and software development of the remote MWD station and its data communication link to the two satellite ground stations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".