Article(id=1242139372095611807, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139350532694884, articleNumber=null, orderNo=12, doi=10.3981/j.issn.1000-7857.2021.15.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1603555200000, receivedDateStr=2020-10-25, revisedDate=1618848000000, revisedDateStr=2021-04-20, acceptedDate=null, acceptedDateStr=null, onlineDate=1631006027630, onlineDateStr=2021-09-07, pubDate=1628784000000, pubDateStr=2021-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1631006027630, onlineIssueDateStr=2021-09-07, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078704118, creator=sys-migrate, updateTime=1774078704118, updator=sys-migrate, issue=Issue{id=1242139350532694884, tenantId=1146029695717560320, journalId=1146031591421210625, year='2021', volume='39', issue='15', pageStart='1', pageEnd='148', issueExtLink='null', onlineDate='null', pubDate='1628784000000', pubDateStr='2021-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078698997, creator='sys-migrate', updateTime=1774078698997, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=67, endPage=74, ext={EN=ArticleExt(id=1242139375778210747, articleId=1242139372095611807, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Application of machine learning in remote sensing image classification, columnId=1242139362264166721, journalTitle=Science & Technology Review, columnName=Exclusive: Meteorological satellites for meteorological disaster monitoring and early warning, runingTitle=null, highlight=null, articleAbstract=This paper summarizes the main methods of machine learning and its main application direction in remote sensing image. It covers the research and application of machine learning technology in environmental ecological remote sensing, and the new progress in recent years. Through the application of deep learning to snow detection of FY-3C meteorological satellite data, it is shown that the deep learning model can improve the detection accuracy by means of big data advantages, and has achieved better precision than traditional machine learning in some indexes, thus solving some problems that are difficult to solve using traditional machine learning method, and driving the innovation of remote sensing application mode., authors=GAO Ang, TANG Shihao, XIAO Meng, ZHENG Wei, authorsList=GAO Ang, TANG Shihao, XIAO Meng, ZHENG Wei, authorCompany=National Satellite Meteorological Center, Beijing 100081, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=xWqSbDS659po8RoIur09sw==, pdfFileSize=1562923, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242139374855467374, articleId=1242139372095611807, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=机器学习在遥感影像分类中的应用, columnId=1242139360439644472, journalTitle=科技导报, columnName=专题：气象卫星应用于气象灾害监测预警, runingTitle=null, highlight=null, articleAbstract=概述了机器学习的主要方法及其在遥感影像的主要应用方向，涵盖环境生态遥感中机器学习技术的研究、应用情况及近年来的新进展。通过使用深度学习对FY-3C气象卫星资料进行积雪检测的应用实例，说明深度学习模型可以利用大数据的优势不断提高检测精度，在某些指标中取得了更优于传统机器学习的精度，可解决传统机器学习难以解决的一些问题，从而带动遥感应用模式的创新。, authors=高昂, 唐世浩, 肖萌, 郑伟, authorsList=高昂, 唐世浩, 肖萌, 郑伟, authorCompany=国家卫星气象中心, 北京 100081, correspAuthors=null, authorNote=高昂,博士,研究方向为机器学习,电子信箱:gaoang@cma.gov.cn, correspAuthorsNote=唐世浩(通信作者),研究员,研究方向为卫星遥感生态环境与灾害监测评估应用,电子信箱:tangshihao937966@cma.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=4uqUCT4+gMNGf0E/wfg4Dw==, 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