Attention-Gate-Based Encoder-Decoder Network for Automatical Building Extraction

Rapidly developing remote sensing technology provides massive data for urban planning, mapping, and disaster management. As a carrier of human productive activities, buildings are essential to both urban dynamic monitoring and suburban construction inspection. Fully-convolutional-network-based metho...

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Vydané v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 14; s. 2611 - 2620
Hlavní autori:	Deng, Wenjing, Shi, Qian, Li, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Attention gate (AG) building extraction Buildings Coders Complexity Construction Construction inspection Convolution Datasets Decoding deep learning Disaster management Emergency preparedness Feature extraction fully convolutional networks (FCNs) Image resolution Imagery Inspection Logic gates Receptive field Remote sensing semantic segmentation Semantics Task analysis Unmanned aerial vehicles Urban planning
ISSN:	1939-1404, 2151-1535
On-line prístup:	Získať plný text
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