An Automated Image-Based Approach to Derive Beach Grain Size Characteristics
Author:
Affiliation:
1. Dept. of Civil and Environmental Engineering, Univ. of New Hampshire, Durham, NH.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485309.024
Reference32 articles.
1. Grain size distribution and composition of modern dune and beach sediments, Malindi Bay coast, Kenya
2. ASTM. 2017a. Standard Test Methods for Particle-Size Distribution (Gradation) of Soils Using Sieve Analysis. ASTM D6913. ASTM International West Conshohocken PA 04 (Reapproved 2009): 1–35. https://doi.org/10.1520/D6913-04R09.2.
3. ASTM. 2017b. Standard Practice for Classification of Soils for Engineering Purposes (Unified Soil Classification System) ASTM D2487-17. ASTM International West Conshohocken PA USA D2487-17: 1–10. https://doi.org/10.1520/D2487-17.
4. SediNet: a configurable deep learning model for mixed qualitative and quantitative optical granulometry
5. Coastal Processes with Engineering Applications
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