Evaluation of Boulder Characteristics for Improved Boulder Detection Based on Machine Learning Techniques

Evaluation of Boulder Characteristics for Improved Boulder Detection Based on Machine Learning Techniques

Detailed maps of the seabed and knowledge of its habitats are critical for a wide range of tasks, such as sustainable development, and environmental protection. Boulders on the seabed form an important environment for ecosystems, but the detection of them is challenging. In this study, we aim to imp...

Full description

Bibliographic Details
Main Authors: Signe Schilling Hansen, Verner Brandbyge Ernstsen, Mikkel Skovgaard Andersen, Zyad Al-Hamdani, Ramona Baran, Manfred Niederwieser, Frank Steinbacher, Aart Kroon
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Geosciences
Subjects:
boulder characteristics
boulder detection
boulder predictors
habitat mapping
machine learning
seabed environments
Online Access:https://www.mdpi.com/2076-3263/12/11/421

Internet

https://www.mdpi.com/2076-3263/12/11/421

Similar Items