[HTML][HTML] Complex buildings orientation recognition and description based on vector reconstruction
Building orientation recognition is a fundamental component of cartographic applications
such as map regularization and map generalization. Most current methods effectively …
such as map regularization and map generalization. Most current methods effectively …
Edge aware depth inference for large-scale aerial building multi-view stereo
Aerial building depth estimation is a crucial task in 3D digital urban reconstruction and
learning-based multi-view stereo (MVS) methods have recently shown promising results in …
learning-based multi-view stereo (MVS) methods have recently shown promising results in …
Building pattern recognition by using an edge-attention multi-head graph convolutional network
Effective building pattern recognition, a complex task that requires the simultaneous
consideration of individual building features and spatial relations, is essential for …
consideration of individual building features and spatial relations, is essential for …
Enhancing building pattern recognition through multi-scale data and knowledge graph: a case study of C-shaped patterns
Building pattern recognition is important for understanding urban forms, automating map
generalization, and visualizing 3D city models. However, current approaches based on …
generalization, and visualizing 3D city models. However, current approaches based on …
Three-dimensional visualization of thermal environments in urban canyons
KC Wu, CH Chen, CH Hsu - Geocarto International, 2022 - Taylor & Francis
Temperature distribution in urban canyons is dynamic, complex, and influenced by a range
of heat resources such as radiant heat from reflected sunlight and convective heat from wind …
of heat resources such as radiant heat from reflected sunlight and convective heat from wind …
基于知识图谱的直线型建筑物模式识别方法
魏智威， 肖屹， 童莹， 许文嘉， 王洋 - 测绘学报, 2023 - xb.chinasmp.com
建筑物空间分布模式是物质和社会经济功能等综合作用于地域形成的重要空间结构,
以往研究多基于图同构方法利用规则识别分布模式, 识别效率不高. 知识图谱利用图模型表达 …
以往研究多基于图同构方法利用规则识别分布模式, 识别效率不高. 知识图谱利用图模型表达 …
Graph distance and feature‐guided multi‐view clustering: A novel method for clustering urban buildings
Urban buildings are an integral component of urban space, and accurately identifying their
spatial configurations and grouping them is vital for various urban applications. However …
spatial configurations and grouping them is vital for various urban applications. However …
Linear building pattern recognition via spatial knowledge graph
W Zhiwei, X Yi, T Ying, X Wenjia, W Yang - arXiv preprint arXiv …, 2023 - arxiv.org
Building patterns are important urban structures that reflect the effect of the urban material
and social-economic on a region. Previous researches are mostly based on the graph …
and social-economic on a region. Previous researches are mostly based on the graph …
Inferring High-level Geographical Concepts via Knowledge Graph and Multi-scale Data Integration: A Case Study of C-shaped Building Pattern Recognition
Effective building pattern recognition is critical for understanding urban form, automating
map generalization, and visualizing 3D city models. Most existing studies use object …
map generalization, and visualizing 3D city models. Most existing studies use object …
Descomposición de una figura poligonal sin huecos en un conjunto de polígonos convexos por medio de un algoritmo exacto y uno aproximado
JM Martínez Contreras - 2023 - repositorio.uniandes.edu.co
La descomposición de una figura poligonal sin huecos en un conjunto de polígonos
convexos es una técnica que se aplica en el empaquetamiento de formas irregulares, corte …
convexos es una técnica que se aplica en el empaquetamiento de formas irregulares, corte …