MétaCan
Menu
Back to cohort
Record W4403122848 · doi:10.1109/taes.2024.3471491

Retrieval of Ship Radial Velocity From Single-Channel Complex-Valued Spaceborne SAR Imagery

2024· article· en· W4403122848 on OpenAlex
Christoph H. Gierull, Khalid El-Darymli

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Aerospace and Electronic Systems · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsDepartment of National DefenceDefence Research and Development Canada
Fundersnot available
KeywordsRemote sensingSynthetic aperture radarChannel (broadcasting)Radar imagingGeologyInverse synthetic aperture radarRadar trackerSide looking airborne radarComputer scienceBistatic radarRadarTelecommunications

Abstract

fetched live from OpenAlex

This article proposes two different techniques to estimate the radial velocity component in complex-valued single-channel space-based synthetic aperture radar (SAR) systems for ships on the open ocean in cases where ship wakes or other features are not observable. While the first technique is based on the well-known Doppler centroid anomaly detection method developed for improved SAR processing, the second novel technique exploits the difference between the azimuth or Doppler ambiguities on either side of the ship image caused by a radial motion. Measuring either the ambiguity shift or the intensity ratio and comparing it with the theoretically expected values permits inferring an estimate of the radial velocity component. Estimation results for both techniques are compared with the Cramér–Rao bound (CRB) and the accurate benchmark estimator along-track interferometric (ATI). Although not as accurate as ATI, it is demonstrated that useful velocity information can be deduced, which is currently not available on almost all existing space-based SAR systems.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.240
Teacher spread0.219 · 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