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Guillon et al., 2020 - Google Patents

Ground-truth uncertainty-aware metrics for machine learning applications on seismic image interpretation: Application to faults and horizon extraction

Guillon et al., 2020

Document ID
8643423304040739395
Author
Guillon S
Joncour F
Barrallon P
Castanié L
Publication year
Publication venue
The Leading Edge

External Links

Snippet

We propose new metrics to measure the performance of a deep learning model applied to seismic interpretation tasks such as fault and horizon extraction. Faults and horizons are thin geologic boundaries (1 pixel thick on the image) for which a small prediction error could …
Continue reading at pubs.geoscienceworld.org (other versions)

Classifications

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    • G06K9/6201—Matching; Proximity measures
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