EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images

Research article (Remote Sensing, 2019) · cited 89× · AI/ML
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EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images

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EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images is a scholarly article[1].

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  • EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/eu-net-an-efficient-fully-convolutional-network-for-building-extraction-from-optical-remote-sensing-images
MLA “EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eu-net-an-efficient-fully-convolutional-network-for-building-extraction-from-optical-remote-sensing-images.
BibTeX @misc{4ortxyz_eu-net-an-efficient-fully-convolutional-network-for-building-extraction-from-optical-remote-sensing-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images}}, year = {2026}, url = {https://4ort.xyz/entity/eu-net-an-efficient-fully-convolutional-network-for-building-extraction-from-optical-remote-sensing-images}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EU-Net: An Efficient Fully Convolutional Network for Building Extraction from Optical Remote Sensing Images — https://4ort.xyz/entity/eu-net-an-efficient-fully-convolutional-network-for-building-extraction-from-optical-remote-sensing-images (retrieved 2026-05-24)

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