版权说明 操作指南
首页 > 成果 > 详情

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

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
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 pattern;spatial cognition;texture analysis;texton co-occurrence matrix
期刊:
International Journal of Geographical Information Science
ISSN:
1365-8816
年:
2017
卷:
31
期:
6
页码:
1079-1100
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),...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com