Bathymetric Detection of Fluvial Environments through UASs and Machine Learning Systems

In recent decades, photogrammetric and machine learning technologies have become essential for a better understanding of environmental and anthropic issues. The present work aims to respond one of the most topical problems in environmental photogrammetry, i.e., the automatic classification of dense...

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Bibliographic Details
Main Authors: Pontoglio Emanuele, Grasso Nives, Cagninei Andrea, Camporeale Carlo, Dabove Paolo, Lingua Andrea Maria
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
UAS
Online Access:https://www.mdpi.com/2072-4292/12/24/4148