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Record W2061683162 · doi:10.1117/12.609449

Scanning altimetric lidar (SALLI): an efficient planetary altimetric mapping instrument

2005· article· en· W2061683162 on OpenAlexaff
Ross Gillett, Andy Cheng, B. Bussey, Éric Martin, Arkady Ulitsky

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsOptech (Canada)Canadian Space Agency
Fundersnot available
KeywordsSpacecraftRemote sensingEphemerisGeologyPlanetNadirPolar orbitGeodesyComputer sciencePhysicsAstronomySatellite

Abstract

fetched live from OpenAlex

SALLI is a conceptual instrument design that will efficiently acquire altimetric data for a planetary body or asteroid from orbit while maintaining a minimum power demand. SALLI scans its measurements off-nadir using a novel circular scanning technique that simultaneously permits a large instrument aperture using a motion-bandwidth efficient scanning mechanism. By combining spacecraft ephemeris data with SALLI’s measurement set, a complete digital elevation map of a planet or similar body can be generated in less time and using less spacecraft power than similar scanning and multi-beam instruments designed for the same purpose. SALLI was originally designed to generate measurement data to produce a topographical map of the lunar surface from a polar-orbiting host spacecraft; however, its benefits extend to a variety of other mapping missions of planets or asteroids.

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: 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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.014
GPT teacher head0.217
Teacher spread0.203 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPlanetary Science and ExplorationFrench-language works237,207