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Record W2100547813 · doi:10.1109/igarss.1994.399746

Airborne interferometric SAR results from mountainous and glacial terrain

2002· article· en· W2100547813 on OpenAlexaffabout
K.E. Mattar, A.L. Gray, M.W.A. van der Kooij, P.J. Farris-Manning

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsInformation Technology Association of Canada
Fundersnot available
KeywordsTerrainRemote sensingInterferometric synthetic aperture radarGeologyGlacierDigital elevation modelElevation (ballistics)Aerial photographyArcticSynthetic aperture radarLandformAerial surveySnowGeodesyGeographyCartographyGeomorphologyOceanography

Abstract

fetched live from OpenAlex

In February 1992, the CCRS Interferometric SAR (CCRS C-InSAR system) was flown over a region in the Canadian Rockies. The test site covered part of the Kananaskis Valley and the Spray Lakes Reservoir and included terrain relief changes of over 1500 metres. The test site was imaged from the 4 cardinal points of the compass, however, the relief changes were so extreme that it was not possible to fill in every gap in the derived digital terrain model caused by layover and radar shadow. The DEM results have been checked by comparing the consistency of the results from opposing passes, by comparison with results generated from aerial stereo photography, and by comparison with GPS ground survey sites. It will be shown that the consistency of results from opposing passes is good and the implied system accuracy compares favourably with that obtained by comparison with the reference DEM and ground survey points. Deriving terrain elevation from Arctic glacier covered terrain using aerial stereo photography is difficult because of weather and flight requirements, coupled with the difficulty of identifying tie points in photography of terrain which is snow covered much of the year. To test InSAR's ability to map glacial terrain, the CCRS system was flown over a mountainous test site (with over 1600 metres relief change) on Bylot island in the Canadian Arctic. The test has confirmed the suitability of radar interferometric techniques for this type of terrain. Initial results are shown.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.483

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 head0.012
GPT teacher head0.206
Teacher spread0.195 · 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 designOther design
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

Citations10
Published2002
Admission routes2
Has abstractyes

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