光电系统中卫星图像的分割

ICINCO-RA Pub Date : 2008-02-20 DOI:10.5220/0001615204080411
A. S. Ostrovsky, Ernesto Pino-Mota, Paulo C. Romero-Soría
{"title":"光电系统中卫星图像的分割","authors":"A. S. Ostrovsky, Ernesto Pino-Mota, Paulo C. Romero-Soría","doi":"10.5220/0001615204080411","DOIUrl":null,"url":null,"abstract":"The problem of segmenting the satellite images into homogeneous texture regions that correspond to the different classes of terrestrial surface is considered. It is shown that this problem may be successfully solved by using the method of spectral synthetic discriminant functions recently proposed by the authors for classification of random image fields and realized by means of a rather simple optoelectronic technique. The experimental results of segmenting the true satellite images are given.","PeriodicalId":302311,"journal":{"name":"ICINCO-RA","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Segmentation of satellite images in optoelectronic system\",\"authors\":\"A. S. Ostrovsky, Ernesto Pino-Mota, Paulo C. Romero-Soría\",\"doi\":\"10.5220/0001615204080411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of segmenting the satellite images into homogeneous texture regions that correspond to the different classes of terrestrial surface is considered. It is shown that this problem may be successfully solved by using the method of spectral synthetic discriminant functions recently proposed by the authors for classification of random image fields and realized by means of a rather simple optoelectronic technique. The experimental results of segmenting the true satellite images are given.\",\"PeriodicalId\":302311,\"journal\":{\"name\":\"ICINCO-RA\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICINCO-RA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0001615204080411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICINCO-RA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0001615204080411","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

考虑了将卫星图像分割成对应不同地表类型的均匀纹理区域的问题。结果表明,采用作者最近提出的随机像场分类的光谱综合判别函数方法,用一种比较简单的光电技术就可以成功地解决这一问题。给出了真实卫星图像分割的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Segmentation of satellite images in optoelectronic system
The problem of segmenting the satellite images into homogeneous texture regions that correspond to the different classes of terrestrial surface is considered. It is shown that this problem may be successfully solved by using the method of spectral synthetic discriminant functions recently proposed by the authors for classification of random image fields and realized by means of a rather simple optoelectronic technique. The experimental results of segmenting the true satellite images are given.
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
Calibration Aspects of Multiple Line-scan Vision System Application for Planar Objects Inspection Automatic Generation of Executable Code for a Robot Cell using UPNP and XIRP Kamanbaré - a tree-climbing biomimetic robotic platform for environmental research Monte carlo localization in highly symmetric environments The tele-echography medical robot Otelo2 - teleoperated with a multi level architecture using trinomial protocol
×
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