Machine Learning Classification of Buildings for Map Generalization

Machine Learning Classification of Buildings for Map Generalization

A critical problem in mapping data is the frequent updating of large data sets. To solve this problem, the updating of small-scale data based on large-scale data is very effective. Various map generalization techniques, such as simplification, displacement, typification, elimination, and aggregation...

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Bibliographic Details
Main Authors: Jaeeun Lee, Hanme Jang, Jonghyeon Yang, Kiyun Yu
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
aggregation
building generalization
classification
elimination
map generalization
machine learning
Online Access:https://www.mdpi.com/2220-9964/6/10/309

Internet

https://www.mdpi.com/2220-9964/6/10/309

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