MétaCan
Menu
Back to cohort
Record W2385184619

Parameter design of FMCW SAR system applied to disaster imaging

2015· article· en· W2385184619 on OpenAlexaff
LI Guangy

Bibliographic record

VenueModern Electronics Technique · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsSynthetic aperture radarComputer scienceRadar imagingPower (physics)Remote sensingProcess (computing)Systems designPopulationReal-time computingSIGNAL (programming language)Continuous-wave radarRadarElectronic engineeringEngineeringComputer visionGeologyTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

The imaging system of the frequency modulated continuous wave(FMCW) synthetic aperture radar(SAR) has the advantages of small size,low power dissipation,all-weather operation,flexible dispatch,and low requirement of the take-off and landing site,which is suitable for applying to disaster evaluation of small region. Based on the performance indexes of ima-ging resolution,scene width and data storage rate,the design process of the population parameter in FMCW SAR system is proposed. The design problems of the feed-through signal filtering,data storage rate and transmitted power are discussed in detail by decomposition design of the parameters. According to the scene characteristics of the partial disaster evaluation,the instance of parameter design and simulation results are provided.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueModern Electronics TechniqueSame topicAdvanced SAR Imaging TechniquesFrench-language works237,207