Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest

S. Aksoy, B. Ozdemir, S. Eckert, F. Kayitakire, M. Pesarasi, O. Aytekin, C. Borel, J. Čech, E. Christophe, S. Duzgun, A. Erener, K. Ertugay, Elima Hussain, J. Inglada, S. Lefèvre, O. Ok, D. K. San, R. Sára, J. Shan, J. Soman, I. Ulusoy, R. Witz
{"title":"Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest","authors":"S. Aksoy, B. Ozdemir, S. Eckert, F. Kayitakire, M. Pesarasi, O. Aytekin, C. Borel, J. Čech, E. Christophe, S. Duzgun, A. Erener, K. Ertugay, Elima Hussain, J. Inglada, S. Lefèvre, O. Ok, D. K. San, R. Sára, J. Shan, J. Soman, I. Ulusoy, R. Witz","doi":"10.1109/PRRS.2008.4783173","DOIUrl":null,"url":null,"abstract":"This paper presents the initial results of the algorithm performance contest that was organized as part of the 5th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). The focus of the 2008 contest was automatic building detection and digital surface model (DSM) extraction. A QuickBird data set with manual ground truth was used for building detection evaluation, and a stereo Ikonos data set with a highly accurate reference DSM was used for DSM extraction evaluation. Nine submissions were received for the building detection task, and three submissions were received for the DSM extraction task. We provide an overview of the data sets, the summaries of the methods used for the submissions, the details of the evaluation criteria, and the results of the initial evaluation.","PeriodicalId":315798,"journal":{"name":"2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRRS.2008.4783173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

This paper presents the initial results of the algorithm performance contest that was organized as part of the 5th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). The focus of the 2008 contest was automatic building detection and digital surface model (DSM) extraction. A QuickBird data set with manual ground truth was used for building detection evaluation, and a stereo Ikonos data set with a highly accurate reference DSM was used for DSM extraction evaluation. Nine submissions were received for the building detection task, and three submissions were received for the DSM extraction task. We provide an overview of the data sets, the summaries of the methods used for the submissions, the details of the evaluation criteria, and the results of the initial evaluation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
建筑检测和数字表面模型提取算法的性能评估:PRRS 2008算法性能竞赛结果
本文介绍了算法性能竞赛的初步结果,该竞赛是第五届IAPR遥感模式识别研讨会(PRRS 2008)的一部分。2008年竞赛的重点是自动建筑检测和数字表面模型(DSM)提取。建筑物检测评价采用人工地真值的QuickBird数据集,DSM提取评价采用高精度参考DSM的立体Ikonos数据集。我们收到了九份建筑探测任务的建议书,三份DSM提取任务的建议书。我们提供了数据集的概述,用于提交的方法的摘要,评估标准的细节,以及初步评估的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations Performance evaluation of building detection and digital surface model extraction algorithms: Outcomes of the PRRS 2008 Algorithm Performance Contest Automatic vehicle extraction from airborne LiDAR data of urban areas using morphological reconstruction On the performance improvement for linear discriminant analysis-based hyperspectral image classification MAGIC: MAp-Guided Ice Classification system for operational analysis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1