Time Series of RADARSAT-1 Fine Mode Images Using Sequential Coherent Target Monitoring Software
Bibliographic record
Abstract
Coherent Target Monitoring (CTM) is COTS software that was developed to detect the rate of land subsidence by using Synthetic Aperture Radar (SAR) repeat-pass interferometry applied to persistent scatterers in the scene. DRDC Ottawa has proposed to use the CTM software to produce a time-series of accurately co-registered SAR images and coherence maps that may be used for both non-coherent and coherent change detection. This capability within the CTM software was improved by DRDC Ottawa developing Sequential CTM, whereby the images in the time series are co-registered sequentially in a pair-wise manner. This report documents testing of the Sequential CTM software and includes the time series of RADARSAT-1 Fine mode images that have been processed, as well as processing procedures, some results, and problems that arose. Test sites include Resolute Bay, NV, Kandahar, Afghanistan, CFB Valcartier, and the Miramar, NU mine site.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".