The analysis and measurement of building patterns using texton co-occurrence matrices

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Yu, Wenhao*;Ai, Tinghua;Liu, Pengcheng;Cheng, Xiaoqiang

通讯作者：

Yu, Wenhao

作者机构：

[Yu, Wenhao] China Univ Geosci, Fac Informat Engn, Wuhan, Peoples R China.

[Yu, Wenhao] Tianjin Univ, Sch Marine Sci & Technol, Tianjin, Peoples R China.

[Ai, Tinghua] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Liu, Pengcheng] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.

[Cheng, Xiaoqiang] Hubei Univ, Fac Resources & Environm Sci, Wuhan, Peoples R China.

通讯机构：

[Yu, Wenhao] C

[Yu, Wenhao] T

China Univ Geosci, Fac Informat Engn, Wuhan, Peoples R China.

Tianjin Univ, Sch Marine Sci & Technol, Tianjin, Peoples R China.

语种：

英文

关键词：

building;GIS;spatial analysis;spatial cognition;texture;triangulation;urban planning;vector

期刊：

International Journal of Geographical Information Science

ISSN：

1365-8816

年：

2017

卷：

期：

页码：

1079-1100

DOI：

10.1080/13658816.2016.1265121

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41501443, 41531180]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

The representation and analysis of building patterns are critical for characterizing urban scenes and making decisions in urban planning. The evaluation of building patterns is a difficult spatial analysis problem that exhibits properties of symbolization, homogeneity and regularity. Open issues in this field include the development of approaches for representing building patterns and vector-based methods for computing various pattern metrics. In the image analysis domain, there are many methods for pattern recognition e.g., texture analysis, but there are few corresponding solutions for vecto...

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