A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network

A Multi-Scale Hybrid Scene Geometric Similarity Measurement Method Using Heterogeneous Graph Neural Network

Geographic features in maps consist of a mixture of points, polylines, and polygons, generally including POIs, roads, buildings, and other geographic features. Due to the differing dimensionality of these various types of geographic data, traditional geometric similarity measurement methods that rel...

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Bibliographic Details
Main Authors: Chongya Gong, Tinghua Ai, Shiyu Chen, Tianyuan Xiao, Huafei Yu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
heterogeneous graph neural network
hybrid scene
similarity measurement
data-driven
Online Access:https://www.mdpi.com/2220-9964/14/2/84
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