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Computers & geosciences, v.135, 2020년, pp.104344 -
Cunha, Augusto (Departamento de Informá) , Pochet, Axelle (tica, PUC-Rio) , Lopes, Hélio (Departamento de Informá) , Gattass, Marcelo (tica, PUC-Rio)
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Abstract The challenging task of automatic seismic fault detection recently gained in quality with the emergence of deep learning techniques. Those methods successfully take advantage of a large amount of seismic data and have excellent potential for assisted fault interpretation. However, they are...
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