Hierarchical Semantic Correspondence Analysis on Feature Classes between Two Geospatial Datasets Using a Graph Embedding Method

Hierarchical Semantic Correspondence Analysis on Feature Classes between Two Geospatial Datasets Using a Graph Embedding Method

A method to find corresponding feature class pairs, including hierarchical M:N pairs between two geospatial datasets is proposed. Applying an overlapping analysis to the object sets within the feature classes, the similarities of the feature classes are estimated and projected onto a lower-dimension...

Full description

Bibliographic Details
Main Author: Yong Huh
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
hierarchical semantic analysis
graph embedding
feature class
land-use category
land-use survey
Online Access:https://www.mdpi.com/2220-9964/8/11/479

Internet

https://www.mdpi.com/2220-9964/8/11/479

Similar Items