Passive standoff detection of liquid surface contaminants: recent results with CATSI
Bibliographic record
Abstract
Laboratory and field measurements for the passive standoff detection of liquid contaminants deposited on surfaces are presented. The measurements were performed at the SURFCON trials held at DRDC Suffield in September 2002. The goal of this trial was to verify that passive LWIR spectrometric sensors have the potential for remotely detecting surface contaminants. Laboratory and field data obtained with the passive CATSI sensor are analyzed. For laboratory measurements, variable amounts of liquid H-contaminant were deposited on high-reflectivity and low-reflectivity surfaces of aluminum and Mylar. Field measurements were performed at a standoff distance of 60 m on aluminium plates covered with the H-contaminant and on low-reflectivity surfaces (armored personnel carrier surface and sod). Results indicate that contaminants deposited on high-reflectivity surfaces can be detected, identified and possibly quantified. The contaminants deposited on low-reflectivity surfaces can usually be detected but cannot be identified based on simple correlations with the absorption spectrum of the contaminant. The inhomogeneous layer model developed to explain the spectral radiance associated with non-uniform contaminant coverage is also presented.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".