基于转角分析的城市建筑自动分类算法

Yang Miao, Gong Cheng-long
{"title":"基于转角分析的城市建筑自动分类算法","authors":"Yang Miao, Gong Cheng-long","doi":"10.1109/IASP.2010.5476051","DOIUrl":null,"url":null,"abstract":"An automatic type estimation method of the urban building is presented in this paper. This work analyzes the corner characteristic of common city buildings. Using morphological sieves of large scale, rough building contours are obtained. This method uses the segments and corners optimization to group each corner, and realizes the automatic differentiation between flat roof building and non-flat building. Finally, simulation examples show the validity and effectiveness of the proposed method.","PeriodicalId":223866,"journal":{"name":"2010 International Conference on Image Analysis and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic classification algorithm of urban building based on corner analysis\",\"authors\":\"Yang Miao, Gong Cheng-long\",\"doi\":\"10.1109/IASP.2010.5476051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An automatic type estimation method of the urban building is presented in this paper. This work analyzes the corner characteristic of common city buildings. Using morphological sieves of large scale, rough building contours are obtained. This method uses the segments and corners optimization to group each corner, and realizes the automatic differentiation between flat roof building and non-flat building. Finally, simulation examples show the validity and effectiveness of the proposed method.\",\"PeriodicalId\":223866,\"journal\":{\"name\":\"2010 International Conference on Image Analysis and Signal Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Image Analysis and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IASP.2010.5476051\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Image Analysis and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IASP.2010.5476051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一种城市建筑类型自动估算方法。这项工作分析了城市常见建筑的边角特征。利用大尺度的形态筛,得到粗略的建筑轮廓。该方法利用分段和转角优化对每个转角进行分组,实现了平顶建筑和非平顶建筑的自动区分。最后,仿真实例表明了所提方法的有效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic classification algorithm of urban building based on corner analysis
An automatic type estimation method of the urban building is presented in this paper. This work analyzes the corner characteristic of common city buildings. Using morphological sieves of large scale, rough building contours are obtained. This method uses the segments and corners optimization to group each corner, and realizes the automatic differentiation between flat roof building and non-flat building. Finally, simulation examples show the validity and effectiveness of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信