Deep learning methods for super-resolution reconstruction of temperature fields in a supersonic combustor
A general super-resolution (SR) reconstruction strategy is proposed to address the super-resolution reconstruction of temperature fields from low-resolution coarse temperature field data using convolutional neural networks. Two deep learning (DL) models were applied to augment the spatial resolution...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2020-11-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0030040 |