77779193永利集团
旧版入口
|
English
科研动态
应申的论文在Int. J. Appl. Earth Obs. Geoinf.刊出
发布时间:2023-10-30     发布者:易真         审核者:     浏览次数:

标题: 3D building similarity for a random single-view-image pair based on a local 3D shape

作者: Ying, S (Ying, Shen); Zhang, XY (Zhang, Xinyue); Wang, M (Wang, Meng); Guo, H (Guo, Han)

来源出版物: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION  : 123  文献号: 103467  DOI: 10.1016/j.jag.2023.103467  提前访问日期: AUG 2023   出版年: SEP 2023  

摘要: In this paper, 3D building shape similarities using graph similarity calculations are discussed. Moreover, a method for characterizing and measuring building shapes in urban landscape analysis and visual perceptual orientation is developed by constructing a building shape graph with geometric invariance for shape graph measurements. Specifically, we proposed a local shape feature at intersection points with 3D invariance. Then, we suggested an approach to obtain the global shape graph similarity between two buildings using graph kernels and thus obtained the shape similarity between two buildings. The performance is evaluated with different sets of experiments. The results show that the similarity of our local shape features at the same point is greater than 0.70, the global shape graph structure can clearly identify the differences between the same buildings due to occlusion and avoid the interference of textures between different buildings, and the similarity measure approach achieves accuracy is more than 89% on a large number of triplet validation data, which reflects excellent applicability.

作者关键词: 3D building similarity; Local shape feature; Global shape graph; Graph kernels; Graph similarity measure

地址: [Ying, Shen; Zhang, Xinyue; Wang, Meng; Guo, Han] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.

[Ying, Shen] Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan, Hubei, Peoples R China.

[Ying, Shen] Wuhan Univ, Key Lab Digital Cartog & Land Informat Applicat, Minist Nat Resources, Wuhan, Hubei, Peoples R China.

通讯作者地址: Ying, S (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China.

Ying, S (通讯作者)Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan, Hubei, Peoples R China.

Ying, S (通讯作者)Wuhan Univ, Key Lab Digital Cartog & Land Informat Applicat, Minist Nat Resources, Wuhan, Hubei, Peoples R China.

电子邮件地址: shy@whu.edu.cn

影响因子:7.5