曲线特征提取的评价方法

Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, J. Grodecki, S. Malitz, Matthew Tang, J. Nolting
{"title":"曲线特征提取的评价方法","authors":"Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, J. Grodecki, S. Malitz, Matthew Tang, J. Nolting","doi":"10.1109/AIPR.2009.5466322","DOIUrl":null,"url":null,"abstract":"The application of quantitative performance evaluation methods can provide useful insights in determining the utility of computer-assisted methods for delineating geographic features from remotely sensed images. Evaluation concepts are demonstrated with road centerlines in particular, but are applicable to similar feature types such as paths, trails, or rivers. The two comparative measures used to differentiate conventional versus computer-assisted delineation are 1) user clock time, and 2) spatial consistency. Our evaluation results with road centerlines demonstrate how such quantitative analyses can be used to determine the utility of computer-assisted methods from both developmental and operational perspectives.","PeriodicalId":266025,"journal":{"name":"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation methods for curvilinear feature extraction\",\"authors\":\"Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, J. Grodecki, S. Malitz, Matthew Tang, J. Nolting\",\"doi\":\"10.1109/AIPR.2009.5466322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The application of quantitative performance evaluation methods can provide useful insights in determining the utility of computer-assisted methods for delineating geographic features from remotely sensed images. Evaluation concepts are demonstrated with road centerlines in particular, but are applicable to similar feature types such as paths, trails, or rivers. The two comparative measures used to differentiate conventional versus computer-assisted delineation are 1) user clock time, and 2) spatial consistency. Our evaluation results with road centerlines demonstrate how such quantitative analyses can be used to determine the utility of computer-assisted methods from both developmental and operational perspectives.\",\"PeriodicalId\":266025,\"journal\":{\"name\":\"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2009.5466322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2009.5466322","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

定量性能评估方法的应用可以为确定从遥感图像中描绘地理特征的计算机辅助方法的效用提供有用的见解。评估概念特别以道路中心线为例,但也适用于类似的特征类型,如路径、小径或河流。用于区分传统和计算机辅助描绘的两个比较指标是:1)用户时钟时间和2)空间一致性。我们对道路中心线的评估结果表明,从发展和运营的角度来看,如何使用这种定量分析来确定计算机辅助方法的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Evaluation methods for curvilinear feature extraction
The application of quantitative performance evaluation methods can provide useful insights in determining the utility of computer-assisted methods for delineating geographic features from remotely sensed images. Evaluation concepts are demonstrated with road centerlines in particular, but are applicable to similar feature types such as paths, trails, or rivers. The two comparative measures used to differentiate conventional versus computer-assisted delineation are 1) user clock time, and 2) spatial consistency. Our evaluation results with road centerlines demonstrate how such quantitative analyses can be used to determine the utility of computer-assisted methods from both developmental and operational perspectives.
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
期刊最新文献
Image-based querying of urban photos and videos Large-scale functional models of visual cortex for remote sensing Overhead imagery research data set — an annotated data library & tools to aid in the development of computer vision algorithms 3D shape retrieval by visual parts similarity Kalman filter based video background estimation
×
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