SAR-GMTI processing with Canada's Radarsat 2 satellite
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Space-based radar (SBR) has been proposed for various military and civilian applications, including wide area surveillance and theatre defence. Reliable, slow, ground moving target indication (GMTI) of tanks and jeeps, for example, poses a significant challenge, due to strong clutter returns that occupy most, if not all of the available spectrum. Space-time adaptive processing (STAP) techniques can be used to implement radar signal processors capable of providing the required sub-clutter visibility. Despite extensive research studies, at present no space-based GMTI systems are in operation. Canada and the United States are presently conducting experimental programs that will include the launching of space-based radar systems capable of synthetic aperture radar (SAR) and GMTI modes. This paper reports on Canada's Radarsat 2 GMTI mode and provides a preliminary analysis of SAR-GMTI performance based on computer simulations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it