Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation

Semantic-to-Instance Segmentation of Time-Invariant Offshore Wind Farms Using Sentinel-1 Time Series and Time-Shift Augmentation

The rapid expansion of offshore wind energy requires effective monitoring to balance renewable energy development with environmental and marine spatial planning. This study proposes a novel offshore wind farm detection methodology integrating Sentinel-1 SAR time series, a time-shift augmentation str...

Full description

Saved in:
Bibliographic Details
Main Authors: Osmar Luiz Ferreira de Carvalho, Osmar Abílio de Carvalho Junior, Anesmar Olino de Albuquerque, Daniel Guerreiro e Silva
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Energies
Subjects:
deep learning
computer vision
remote sensing
renewable energy
wind energy
wind farms
Online Access:https://www.mdpi.com/1996-1073/18/5/1127
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1996-1073/18/5/1127

Similar Items