Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement

Extracting Buildings from Remote Sensing Images Using a Multitask Encoder-Decoder Network with Boundary Refinement

Extracting buildings from high-resolution remote sensing images is essential for many geospatial applications, such as building change detection, urban planning, and disaster emergency assessment. Due to the diversity of geometric shapes and the blurring of boundaries among buildings, it is still a...

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Bibliographic Details
Main Authors: Hao Xu, Panpan Zhu, Xiaobo Luo, Tianshou Xie, Liqiang Zhang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
building extraction
remote sensing
deep learning
multitask method
boundary information
Online Access:https://www.mdpi.com/2072-4292/14/3/564

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