Building Extraction in Very High Resolution Imagery by Dense-Attention Networks

Building Extraction in Very High Resolution Imagery by Dense-Attention Networks

Building extraction from very high resolution (VHR) imagery plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Compared with the traditional building extraction approaches, deep learning networks have...

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Bibliographic Details
Main Authors: Hui Yang, Penghai Wu, Xuedong Yao, Yanlan Wu, Biao Wang, Yongyang Xu
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
building extraction
deep learning
attention mechanism
very high resolution
imagery
Online Access:https://www.mdpi.com/2072-4292/10/11/1768

Internet

https://www.mdpi.com/2072-4292/10/11/1768

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