陆地上基于TERRA/MODIS数据的日间辐射雾探测方案

Ma Huiyun, Wang Zhao
{"title":"陆地上基于TERRA/MODIS数据的日间辐射雾探测方案","authors":"Ma Huiyun, Wang Zhao","doi":"10.1109/ETCS.2010.402","DOIUrl":null,"url":null,"abstract":"Weather experts increasingly concerned about the fog as a weather phenomenon. At present there are still difficulties in detecting fog because the detection threshold between fog and the clear sky surface is uncertainty, spectral features and texture features between cloud and fog is similar. This article develops a daytime radiation fog detecting scheme based on TERRA/MODIS data over land, which aimed at the separation between fog and clear sky, cloud. The detecting scheme has strong stability, high automaticity. But the detecting scheme is difficult to detect light fog, and easy to misjudge some types of clouds as fog. Therefore, algorithm should be further improved.","PeriodicalId":193276,"journal":{"name":"2010 Second International Workshop on Education Technology and Computer Science","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Notice of RetractionA Daytime Radiation Fog Detecting Scheme Based on TERRA/MODIS Data over Land\",\"authors\":\"Ma Huiyun, Wang Zhao\",\"doi\":\"10.1109/ETCS.2010.402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Weather experts increasingly concerned about the fog as a weather phenomenon. At present there are still difficulties in detecting fog because the detection threshold between fog and the clear sky surface is uncertainty, spectral features and texture features between cloud and fog is similar. This article develops a daytime radiation fog detecting scheme based on TERRA/MODIS data over land, which aimed at the separation between fog and clear sky, cloud. The detecting scheme has strong stability, high automaticity. But the detecting scheme is difficult to detect light fog, and easy to misjudge some types of clouds as fog. Therefore, algorithm should be further improved.\",\"PeriodicalId\":193276,\"journal\":{\"name\":\"2010 Second International Workshop on Education Technology and Computer Science\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Workshop on Education Technology and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETCS.2010.402\",\"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 Second International Workshop on Education Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETCS.2010.402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

气象专家越来越关注雾作为一种天气现象。由于雾与晴空表面的检测阈值存在不确定性,云与雾的光谱特征和纹理特征相似,目前雾的检测仍存在困难。本文提出了一种基于陆地TERRA/MODIS数据的日间辐射雾探测方案,以实现雾与晴空、云的分离。该检测方案稳定性强,自动化程度高。但该检测方案难以检测到轻雾,且容易将某些类型的云误判为雾。因此,算法还需进一步改进。
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
Notice of RetractionA Daytime Radiation Fog Detecting Scheme Based on TERRA/MODIS Data over Land
Weather experts increasingly concerned about the fog as a weather phenomenon. At present there are still difficulties in detecting fog because the detection threshold between fog and the clear sky surface is uncertainty, spectral features and texture features between cloud and fog is similar. This article develops a daytime radiation fog detecting scheme based on TERRA/MODIS data over land, which aimed at the separation between fog and clear sky, cloud. The detecting scheme has strong stability, high automaticity. But the detecting scheme is difficult to detect light fog, and easy to misjudge some types of clouds as fog. Therefore, algorithm should be further improved.
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
A New Classifier for Multi-Class Problems Based on Negative Selection Algorithm Establishment of School Database Management System Based on VB and MapX: A Case Study of Shandong University of Technology Application of Microscopic Image Segmentation Technology in Locust-Control Pesticide Research Questions and Strategies of Learning Design under the Informational Circumstance Intelligent Test System on the Power Battery of Hybrid Electric Vehicle
×
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