Synthetic datasets, for which we propose the term synthsets, are not a novelty but have
become a necessity. Although they have been used in computer vision since 1989, hel** …

The continuous advancement within the offshore wind energy industry is propelled by the
imperatives of renewable energy generation, climate change policies, and the zero …

Advances in remote sensing image processing techniques have further increased the
demand for annotated datasets. However, preparing annotated multi-temporal 2D/3D …

In recent years, black-box machine learning approaches have become a dominant modeling
paradigm for knowledge extraction in remote sensing. Despite the potential benefits of …

Offshore wind energy is at the advent of a massive global expansion. To investigate the
development of the offshore wind energy sector, optimal offshore wind farm locations, or the …

Deep learning methods for image analysis are attracting increasing interest for application in
a wide range of different research fields. Here we aim to systematically analyze and discuss …

The Paraguayan Chaco is one of the most rapidly deforested areas in Latin America, mainly
due to cattle ranching. Continuously forested windbreaks between agricultural areas and …

A rapid development of marine infrastructures can be observed along the global coasts.
Offshore wind farms, oil and gas platforms, artificial islands, aquaculture, and more, are …

Currently, the generation of synthetic data has become very fashionable, either due to the
need to create data in certain specific contexts or to study unknown scenarios among other …

As a renewable energy source, ocean wind energy plays an important role in addressing
challenges such as global energy shortages and climate warming. In the past decade, the …