Abstract: To address low-quality pseudo-labels and class imbalance in semi-supervised remote sensing scene classification, this letter proposes a novel dynamic adaptive reweighting and pseudo-labeling ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Remote sensing image scene classification remains challenging due to complex backgrounds and multiscale objects. Traditional convolutional neural networks (CNNs) often overfit to irrelevant textures ...

The management and protection of water resources, especially in coastal zones, are increasingly critical in the face of climate change, pollution, and overexploitation. Coastal regions are essential ...

The accelerated urbanization of landscapes poses significant challenges to the sustainability and ecological integrity of the ...

Join us for a knowledge exchange event hosted by Innovate UK Business Connect, the UK Department for Environment, Food and Rural Affairs and the Commonwealth Secretariat. The webinar will showcase ...