The production of highly accurate land cover maps is one of the primary challenges in
remote sensing, which depends on the spatial resolution of the input images. Sometimes …

Unsupervised domain adaptation (UDA) has become an important technique for cross-
domain semantic segmentation (SS) in the remote sensing community and obtained …

There is a growing interest in the development of automated data processing workflows that
provide reliable, high spatial resolution land cover maps. However, high-resolution remote …

Choosing the proper ground sampling distance (GSD) is a vital decision in remote sensing,
which can determine the success or failure of a project. Higher resolutions may be more …

High-resolution images for remote sensing applications are often not affordable or
accessible, especially when in need of a wide temporal span of recordings. Given the easy …

The primary objective of this research was to enhance the quality of semantic segmentation
in cytology images by incorporating super-resolution (SR) architectures. An additional …

Imagens aéreas de alta resolução são desejáveis para a maior parte das aplicações de
sensoriamento remoto baseadas em algoritmos profundos. Esse tipo de dado, contudo …