The paper argues that satellite data could create a significant shift in machine learning, suggesting a need to rethink existing practices designed for traditional data modalities. As machine learning for…
Continue readingThis paper focuses on the development of a new tool, ViSual_IceD, a convolutional neural network (CNN) for improved sea ice detection. This tool builds upon the classic U-Net architecture and…
Continue readingThis paper proposes a new Privacy-Preserving TFGC (Target Fine-grained Classification) Framework based on Federated Learning, named PRFL. The framework is designed to help clients learn global and local knowledge, improving…
Continue readingThis research focuses on the creation of a new set of multimodal remote sensing benchmark datasets for cross-city semantic segmentation tasks. The dataset, called the C2Seg, includes two cross-city scenes,…
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