Seismic Facies Segmentation via A Segformer-based Specific Encoder-Decoder-Hypercolumns Scheme

Seismic facies classification plays an important role in oil and gas reservoir interpretation. In the past few years, convolution neural network (CNN)-based models have been widely used in supervised seismic facies classification. However, to improve some inherent limitations of CNNs, it is signific...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 61; s. 1
Hlavní autoři:	Wang, Zhiguo, Wang, Qiannan, Yang, Yang, Liu, Naihao, Chen, Yumin, Gao, Jinghuai
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks Circuit faults Classification Coders Convolution Decoding Feature extraction Floating point arithmetic Hypercolumn Image segmentation Neural networks Oil insulation Oil reservoirs Segformer Seismic data Seismic facies segmentation Seismic surveys Self-attention mechanism Semantic segmentation Training Transformer Transformers
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!