Operational performance of a combined Density- and Clustering-based approach to extract bathymetry returns from LiDAR point clouds

Conventional techniques for extracting bathymetric soundings from LiDAR point clouds are at best semi-automated and require considerable manual effort. An algorithm that couples a widely used sonar data processing method with a newly developed machine-learning(ML)-based algorithm was evaluated for a...

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Autors principals:	Kim Lowell, Brian Calder
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2022-03-01
Col·lecció:	International Journal of Applied Earth Observations and Geoinformation
Matèries:	K-means clustering Machine learning Florida Keys Coral reefs Shallow water bathymetry
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S0303243422000253
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