Building Block Extraction from Historical Maps Using Deep Object Attention Networks

Building Block Extraction from Historical Maps Using Deep Object Attention Networks

The geographical feature extraction of historical maps is an important foundation for realizing the transition from human map reading to machine map reading. The current methods for building block extraction from historical maps have many problems, such as low accuracy and poor scalability. Moreover...

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Bibliographic Details
Main Authors: Yao Zhao, Guangxia Wang, Jian Yang, Lantian Zhang, Xiaofei Qi
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
historical maps
building block
feature extraction
object attention
transfer learning
Online Access:https://www.mdpi.com/2220-9964/11/11/572

Internet

https://www.mdpi.com/2220-9964/11/11/572

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