3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates-Phase 2
Published in FHWA-ICT-22-013, 2022
This report presents deep-learning-based 3D image analysis for size and shape characterization of stockpile riprap aggregates.
Recommended citation: Huang, H., Tutumluer, E., Luo, J., Ding, K., Qamhia, I., & Hart, J. M. (2022). "3D image analysis using deep learning for size and shape characterization of stockpile riprap aggregates-Phase 2." FHWA-ICT-22-013.
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