A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data

A Transformer-Based Approach for Efficient Geometric Feature Extraction from Vector Shape Data

The extraction of shape features from vector elements is essential in cartography and geographic information science, supporting a range of intelligent processing tasks. Traditional methods rely on different machine learning algorithms tailored to specific types of line and polygon elements, limitin...

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Bibliographic Details
Main Authors: Longfei Cui, Xinyu Niu, Haizhong Qian, Xiao Wang, Junkui Xu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
geometric data processing
transformer
self-supervised learning
geographic applications
Online Access:https://www.mdpi.com/2076-3417/15/5/2383
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