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Record W2986761192 · doi:10.1109/igarss.2019.8899059

Airborne-Single Pass X-Band FMCW InSAR Instrument for the Accurate Dem Generation

2019· article· en· W2986761192 on OpenAlexaff
Masanobu Shimada, Akira Nohmi, Hitoshi Nohmi, Shuto Sugai, Mayumi Noguchi, Akira Sasagawa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsAluminerie Alouette (Canada)
Fundersnot available
KeywordsInterferometric synthetic aperture radarRemote sensingGeolocationInterferometrySynthetic aperture radarComputer scienceGeodesyGeologyOpticsPhysics

Abstract

fetched live from OpenAlex

300 MHz X band FMCW single pass INSAR instrument and processing algorithm were developed for generating the accurate DEM of the Earth. Japan has more than hundred active volcanoes and often to vary the topography. This light weighted InSAR instrument can quickly monitor and measure the change of the earth surface flying on the low altitude of the small manned airplane. The imaging and interferometric SAR algorithms were developed for fast and accurate provision of the topography preparation. The algorithm can bear the long strip processing without limitations on the fast memory storage composed of two steps: browsing and high precision mode. Height and geolocation accuracies are evaluated and measured as better than several meter.

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 score0.003
Threshold uncertainty score0.010

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)0.0030.002

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 head0.023
GPT teacher head0.222
Teacher spread0.200 · 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
Published2019
Admission routes1
Has abstractyes

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