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Record W4245885706 · doi:10.4095/220058

A General Method for the Calibration of the C-band Convair-580 SAR

2003· report· en· W4245885706 on OpenAlexaffabout
R Touzi, C.E. Livingstone

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicAdvanced SAR Imaging Techniques
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsCalibrationRemote sensingComputer scienceEnvironmental scienceGeologyMathematicsStatistics

Abstract

fetched live from OpenAlex

A general polarimetric model which includes systems whose receiving configuration is independent of the transmitted polarization (one configuration), as well as systems with two distinct receiving configurations, was introduced in [9]. This model was used to develop a calibration method for early X-band polarimetric SAR developed at Canada Centre for Remote Sensing (CCRS) [9]. A simplified method was adapted for the C-band SAR system that is equipped with polarization switches with high isolation (better than 50 dB) [4], [2]. This method leads to an accuracy of 1 to 2 dB in radiometry and 5°in phase, for incidence angles within ±20°from the antenna boresight angle. Tests run on various data sets lead to the conclusion that the Convair-580 SAR system is quite stable in short-term, but is not over the long-term. This requires the deployment of reference point targets during each flight. On the other hand, several data sets demonstrated the existence from time to time of a significant cross-talk term. It is shown that the general calibration method of [9] can still be applied to retrieve pure polarizations from the distorted measurements, and provide an assessment of the system distortion matrix during data acquisition.

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 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.176
Threshold uncertainty score0.446

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 head0.034
GPT teacher head0.332
Teacher spread0.298 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2003
Admission routes2
Has abstractyes

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