[HTML][HTML] Sediment identification using machine learning classifiers in a mixed-texture dredge pit of Louisiana shelf for coastal restoration
H Liu, K Xu, B Li, Y Han, G Li - Water, 2019 - mdpi.com
Machine learning classifiers have been rarely used for the identification of seafloor sediment
types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple …
types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple …
[HTML][HTML] Sediment transport near ship shoal for coastal restoration in the Louisiana shelf: A model estimate of the year 2017–2018
H Liu, K Xu, Y Ou, R Bales, Z Zang, ZG Xue - Water, 2020 - mdpi.com
Ship Shoal has been a high-priority target sand resource for dredging activities to restore the
eroding barrier islands in LA, USA. The Caminada and Raccoon Island pits were dredged …
eroding barrier islands in LA, USA. The Caminada and Raccoon Island pits were dredged …
Geomorphologic change and patchy mud infilling in a sandy dredge pit in eastern Ship Shoal, Louisiana shelf, USA
H Liu, K Xu, C Wilson, SJ Bentley, Z Xue, Z Zhang - Geomorphology, 2022 - Elsevier
To restore degraded barrier shorelines of the Mississippi River Deltaic Plain of Louisiana,
sand is dredged from borrow areas in estuaries and continental shelves. The dredge pit in …
sand is dredged from borrow areas in estuaries and continental shelves. The dredge pit in …
[HTML][HTML] Deep Learning-Based Geomorphic Feature Identification in Dredge Pit Marine Environment
W Zhang, X Chen, X Zhou, J Chen, J Yuan… - Journal of Marine …, 2024 - mdpi.com
Deep learning methods paired with sidescan sonar (SSS) are commonly used in underwater
search-and-rescue operations for drowning victims, wrecks, and airplanes. However, these …
search-and-rescue operations for drowning victims, wrecks, and airplanes. However, these …