地理空间信息2026，Vol.24Issue(3)：84-86,102,4.DOI:10.3969/j.issn.1672-4623.2026.03.017
基于孪生Bi-LSTM网络的线状要素相似判别模型研究
Research on Linear Element Similarity Discrimination Model Based on Twin Bi-LSTM Network
陈涛 1周婧娟 1郑旭野2
作者信息
- 1. 湖北省测绘成果档案馆,湖北 武汉 430074
- 2. 自然资源部 重庆测绘院,重庆 401120
- 折叠
摘要
Abstract
Traditional methods of similarity discrimination between linear elements suffer from algorithmic complexity and difficulty in determining thresholds.Addressing this problem,we proposed a linear element similarity discrimination model based on twin bidirectional long short-term memory(Bi-LSTM)network.We utilized twin Bi-LSTM networks to model the input pairs of linear elements,learning the spatial geometric characteristics of these elements.After combining the element vectors,we obtained similarity judgments.Experiments demonstrate that this model achieves F1-score of 96.34%in the similarity discrimination of linear elements in river element datasets,exhibiting superior performance compared to traditional algorithms,which can offer a novel approach to geometric similarity discrimination among linear elements.关键词
孪生网络/Bi-LSTM/地理知识图谱/几何相似性Key words
twin network/Bi-LSTM/geographical knowledge graph/geometric similarity分类
天文与地球科学引用本文复制引用
陈涛,周婧娟,郑旭野..基于孪生Bi-LSTM网络的线状要素相似判别模型研究[J].地理空间信息,2026,24(3):84-86,102,4.
