Generation of High-Precision Ground Penetrating Radar Images Using Improved Least Square Generative Adversarial Networks
Deep learning models have achieved success in image recognition and have shown great potential for interpretation of ground penetrating radar (GPR) data. However, training reliable deep learning models requires massive labeled data, which are usually not easy to obtain due to the high costs of data...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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MDPI AG
2021
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| Accès en ligne: | https://doaj.org/article/7085fe613529485290866780cf1640ea |
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