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Record W1966967907 · doi:10.1049/el:20046211

Azimuth positioning of moving targets in two-channel SAR by direction-of-arrival estimation

2004· article· en· W1966967907 on OpenAlex

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

VenueElectronics Letters · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsDefence Research and Development CanadaDepartment of National Defence
Fundersnot available
KeywordsClutterAzimuthComputer scienceDirection of arrivalChannel (broadcasting)Antenna (radio)Remote sensingMoving target indicationRadarComputer visionReal-time computingGeologyTelecommunicationsRadar imagingContinuous-wave radarMathematics

Abstract

fetched live from OpenAlex

Many present and future SAR systems that are also intended to measure and monitor moving objects on the ground will be restricted to only two parallel antenna apertures owing to the enormous costs involved for extra receiver channels. This is particularly true for space-based systems, such as RADARSAT-2 and TerraSAR-X. Classical techniques to simultaneously detect moving targets by rejecting the superimposed clutter and to estimate their correct locations subsequently via direction-of-arrival (DoA) estimates cannot be applied owing to the dual-receiver limitation. Proposed is an alternative method to retrieve clutter-suppressed target signals in the individual channels that allow the application of DoA-estimation and verifies its feasibility with measured airborne SAR data.

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 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 score0.594
Threshold uncertainty score0.615

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 integrity0.0000.000
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 head0.003
GPT teacher head0.225
Teacher spread0.222 · 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