F1-score is 89.35%, which are at least 5.04% and 10.84% better than those of other typical methods, such as the graph convolutional network. In particular, detecting roads and bare soil is significantly better than that of other methods.">

An Object-Oriented Semi-Supervised Land-Use/Land-Cover Change Detection Method Based on Siamese Autoencoder Graph Attention Network (original) (raw)

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