AU3-GAN: A Method for Extracting Roads from Historical Maps Based on an Attention Generative Adversarial Network
Yao Zhao,
Guangxia Wang,
Jian Yang
et al.
Abstract:In recent years, the integration of deep learning technology based on convolutional neural networks with historical maps has made it possible to automatically extract roads from these maps, which is highly important for studying the evolution of transportation networks. However, the similarity between roads and other features (such as contours, water systems, and administrative boundaries) poses a significant challenge to the feature extraction capabilities of convolutional neural networks (CNN). Additionally,… Show more
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