A graph convolutional neural network for classification of building patterns using spatial vector data

标题
A graph convolutional neural network for classification of building patterns using spatial vector data
作者
关键词
Building pattern classification, Graph convolutional neural network, Machine learning, Spatial vector data, Graph Fourier transform, Deep learning
出版物
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 150, Issue -, Pages 259-273
出版商
Elsevier BV
发表日期
2019-03-06
DOI
10.1016/j.isprsjprs.2019.02.010

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started