Federated Deep Learning With Prototype Matching for Object Extraction From Very-High-Resolution Remote Sensing Images
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DOI: 10.1109/tgrs.2023.3244136
Abstract: Deep convolutional neural networks (DCNNs) have become the leading tools for object extraction from very-high-resolution (VHR) remote sensing images. However, the label scarcity problem of local datasets hinders the prediction performances of DCNNs, and privacy… read more here.
Keywords: object extraction; remote sensing; extraction high; prototype matching ... See more keywords