中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic land- cover update approach integrating iterative training sample selection and a Markov Random Field model

文献类型:期刊论文

作者Jia, Kun ; Liang, Shunlin ; Wei, Xiangqin ; Zhang, Lei ; Yao, Yunjun ; Gao, Shuai
刊名Remote Sensing Letters
出版日期2014
卷号5期号:2页码:148-156
ISSN号2150-704X
收录类别SCI
语种英语
公开日期2014-12-07
源URL[http://ir.ceode.ac.cn/handle/183411/28647]  
专题遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
推荐引用方式
GB/T 7714
Jia, Kun,Liang, Shunlin,Wei, Xiangqin,et al. Automatic land- cover update approach integrating iterative training sample selection and a Markov Random Field model[J]. Remote Sensing Letters,2014,5(2):148-156.
APA Jia, Kun,Liang, Shunlin,Wei, Xiangqin,Zhang, Lei,Yao, Yunjun,&Gao, Shuai.(2014).Automatic land- cover update approach integrating iterative training sample selection and a Markov Random Field model.Remote Sensing Letters,5(2),148-156.
MLA Jia, Kun,et al."Automatic land- cover update approach integrating iterative training sample selection and a Markov Random Field model".Remote Sensing Letters 5.2(2014):148-156.

入库方式: OAI收割

来源:遥感与数字地球研究所

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