IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2022
DOI: 10.1109/igarss46834.2022.9883183
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Instance Segmentation of Piled Rock Particles Based on Mask R-CNN

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“…The third application of ML-based classification is R-CNN architecture-based model (Yamada and Di Santo, 2022) that provides formation top detection, and lithology classification based on cutting size/shape identification as shown in Fig. A-8.…”
Section: Machine Learning-based Classification Of Lithologies and Roc...mentioning
confidence: 99%
“…The third application of ML-based classification is R-CNN architecture-based model (Yamada and Di Santo, 2022) that provides formation top detection, and lithology classification based on cutting size/shape identification as shown in Fig. A-8.…”
Section: Machine Learning-based Classification Of Lithologies and Roc...mentioning
confidence: 99%