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Record W2301197283

Airborne Infrared Observations of Research Vessel Quest

2008· article· en· W2301197283 on OpenAlexaboutno aff
Zahir A. Daya, Daniel L. Hutt

Bibliographic record

VenueJournal of battlefield technology · 2008
Typearticle
Languageen
FieldEngineering
TopicInfrared Target Detection Methodologies
Canadian institutionsnot available
Fundersnot available
KeywordsRadianceRemote sensingHeading (navigation)InfraredAzimuthGeologyAltitude (triangle)PhysicsOpticsGeodesy
DOInot available

Abstract

fetched live from OpenAlex

Defence Research and Development Canada-Atlantic conducted co-operative infrared (IR) surveillance of research vessel Quest from the air in October 2006 near Halifax harbour. A Canadian Forces Military Patrol Aircraft imaged the Quest in the mid-wave IR band using the Wescam MX-20 IR camera. The Quest cruised along headings such that the sun's azimuthal position was directly astern, perpendicular, and at 45 to the ship heading. For each of the ship-sun orientations, the aircraft executed a flight pattern that consisted of starboard and port passes that transected the Quest at nominal altitudes of 30m and 300m. An additional pass along the ship heading from stern to bow was made at an altitude of 150m. Wide field-of-view IR images were collected from ranges typically exceeding 5 km with a 640 512 pixel resolution. From the digital video, we have extracted the background radiance and the total contrast signature of the Quest for the various ship-sun-pass configurations. The background sky-to-sea profiles reveal a strong increase in mid-wave IR sea radiance with steepening viewing angle. The total contrast mid-wave IR signature has an approximate power-law decay with distance for ranges between about 1-10 km. At close ranges, we qualitatively note contributions to the signature by the radiance from the wake and from reflections of the ship in the sea surface.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.124
GPT teacher head0.335
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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