Combining Deep Fully Convolutional Network and Graph Convolutional Neural Network for the Extraction of Buildings from Aerial Images

Combining Deep Fully Convolutional Network and Graph Convolutional Neural Network for the Extraction of Buildings from Aerial Images

Deep learning technology, such as fully convolutional networks (FCNs), have shown competitive performance in the automatic extraction of buildings from high-resolution aerial images (HRAIs). However, there are problems of over-segmentation and internal cavity in traditional FCNs used for building ex...

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Bibliographic Details
Main Authors: Wenzhuo Zhang, Mingyang Yu, Xiaoxian Chen, Fangliang Zhou, Jie Ren, Haiqing Xu, Shuai Xu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Buildings
Subjects:
deep fully convolutional network (DFCN)
graph convolutional neural network (GCN)
building extraction
high-resolution aerial images
Online Access:https://www.mdpi.com/2075-5309/12/12/2233

Internet

https://www.mdpi.com/2075-5309/12/12/2233

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