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While deep convolutional neural networks (DCNNs) have demonstrated superiority in their ability to classify image data, one of the primary downsides of DCNNs is that their training normally requires ...
Most existing deep learning models for remote sensing scene classification (RSSC) adopt offline learning paradigm, which are trained on closed datasets and fail to dynamically update with new class ...
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