A real aperture radar for low resolution mapping at low costs
Bibliographic record
Abstract
This paper briefly describes the results obtained in the course of the trade-off analysis activity of low cost scatterometers based on real aperture measurement. This has been carried out at Alenia Aerospazio-Space Division in the frame of internal research activities and of the European Space Agency (ESA) "Modest Resolution Radar for Radar/Radiometer Applications" contract. The idea of low resolution radar operating in scatter mode is not recent. Some years ago ESA proposed to analyse the synergism between scatterometers and radiometers in order the achieve a more complete mission for environmental application and sea temperature surveillance. From this consideration ESA generated an ITT on "Modest Resolution Radars" suitable for a synergetic employment on a devoted mission with a radiometer very similar to MIMR (Multi Frequency Microwave Radiometer). Alenia Aerospazio, together with the Canadian MPB Technology and British ESYS, have developed research work in order to disclose new instrument concepts such to fit as much as possible the requirement imposed by the world scientific community. The paper describes some concepts presenting them in terms of measurement principle, theoretical performance and estimated cost/weight.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".