Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models

• Published in: arXiv.org
• Main Authors: Osmar Luiz Ferreira de Carvalho, Osmar Abilio de Carvalho Junior, Anesmar Olino de Albuquerque, Guerreiro e Silva, Daniel
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 14.12.2023
• Subjects: Instance segmentation; Offshore; Offshore energy sources; Renewable energy sources; Semantic segmentation; Semantics; Strategy; Target detection; Time series; Wind power

Offshore wind farms represent a renewable energy source with a significant global growth trend, and their monitoring is strategic for territorial and environmental planning. This study's primary objective is to detect offshore wind plants at an instance level using semantic segmentation models...