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Record W2108869366 · doi:10.1109/igarss.1997.615925

RADARSAT attitude estimates based on Doppler centroid of satellite imagery

2002· article· en· W2108869366 on OpenAlexaff
S.R. Marandi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsSatelliteDoppler effectCentroidGeodesyRemote sensingOrbit (dynamics)Ground trackPosition (finance)SIGNAL (programming language)ComputationRange (aeronautics)Computer sciencePhysicsGeologyArtificial intelligenceAlgorithmEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

An algorithm is developed for computation of the expected Doppler shift in the returned SAR signal. The Doppler shift is a function of the attitude of the satellite, range time and the position of the satellite in the orbit. The least squares error between the results of the algorithm and the measured Doppler centroid of an image yields the yaw and pitch of the satellite corresponding to the time of the image. Sixteen images, taken after a series of corrections to the attitude control system tables, are analyzed. The resulting yaw and pitch values were -0.15/spl deg//spl plusmn/0.05/spl deg/ and -0.06/spl deg//spl plusmn/0.12/spl deg/. The insensitivity of the calculated yaw and pitch values to small variations in the assumed roll of the satellite is demonstrated.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.010
GPT teacher head0.203
Teacher spread0.193 · 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 designBench or experimental
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

Citations5
Published2002
Admission routes1
Has abstractyes

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