Cargando…
Study of various machine learning approaches for Sentinel-2 derived bathymetry
In recent years precise and up-to-date information regarding seabed depth has become more and more important for companies and institutions that operate on coastlines. While direct, in-situ measurements are performed regularly, they are expensive, time-consuming and impractical to be performed in sh...
Autores principales: | Chybicki, Andrzej, Sosnowski, Paweł, Kulawiak, Marek, Bieliński, Tomasz, Korlub, Waldemar, Łubniewski, Zbigniew, Kempa, Magdalena, Parzuchowski, Jarosław |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503737/ https://www.ncbi.nlm.nih.gov/pubmed/37713403 http://dx.doi.org/10.1371/journal.pone.0291595 |
Ejemplares similares
-
GLOBathy, the global lakes bathymetry dataset
por: Khazaei, Bahram, et al.
Publicado: (2022) -
Seabed Modelling by Means of Airborne Laser Bathymetry Data and Imbalanced Learning for Offshore Mapping
por: Kogut, Tomasz, et al.
Publicado: (2022) -
Sixteen years of bathymetry and waves at San Diego beaches
por: Ludka, B. C., et al.
Publicado: (2019) -
Magnetic instrumentation and other applications of magnets in NOTES
por: Kobiela, Jarek, et al.
Publicado: (2011) -
Deriving Large-Scale Coastal Bathymetry from Sentinel-2 Images Using an HIGH-Performance Cluster: A Case Study Covering North Africa’s Coastal Zone
por: Baba, Mohamed Wassim, et al.
Publicado: (2021)