Hybrid Attention Cascaded U-net For Building Extraction from Aerial Images

2021 7th International Conference on Big Data Computing and Communications (BigCom)(2021)

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摘要
Building extraction from aerial images is an effective way to monitor the urban changes and make city planning. To detect more easily missed small objects and improve accuracy, this paper proposes a simple but powerful deep neural network named Hybrid Attention Cascaded U-net (HAC U-net). In the new model, attention unit (AU) is designed to take the place of some skip connections between encoder a...
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关键词
Deep learning,Gold,Image segmentation,Buildings,Memory management,Feature extraction,Decoding
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