人类视觉感知原理可用于构建智能模式识别软件:在法国地图判读中的应用

J. Labiche, J. Ogier, R. Kocik, P. Santraine, R. Mullot, J. Caston
{"title":"人类视觉感知原理可用于构建智能模式识别软件:在法国地图判读中的应用","authors":"J. Labiche, J. Ogier, R. Kocik, P. Santraine, R. Mullot, J. Caston","doi":"10.1109/ROMAN.1993.367735","DOIUrl":null,"url":null,"abstract":"This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parcels (buildings), blocks and roads, using the knowledge of the cadastral map. We adopt the fixed 2D object visual perception strategy.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"63 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Human visual perception principles may be used to build intelligent pattern recognition softwares: application to French map interpretation\",\"authors\":\"J. Labiche, J. Ogier, R. Kocik, P. Santraine, R. Mullot, J. Caston\",\"doi\":\"10.1109/ROMAN.1993.367735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parcels (buildings), blocks and roads, using the knowledge of the cadastral map. We adopt the fixed 2D object visual perception strategy.<<ETX>>\",\"PeriodicalId\":270591,\"journal\":{\"name\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"volume\":\"63 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMAN.1993.367735\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文介绍了一种地籍图判读装置。我们解决这个问题的方法是通过提取最低信息水平来对图像进行矢量化。然后,它利用地籍地图的知识重建真实的地籍实体,如地块、孵化的地块(建筑物)、街区和道路。我们采用固定的二维物体视觉感知策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human visual perception principles may be used to build intelligent pattern recognition softwares: application to French map interpretation
This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parcels (buildings), blocks and roads, using the knowledge of the cadastral map. We adopt the fixed 2D object visual perception strategy.<>
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:481959085
Book学术官方微信