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	A comparison of machine learning approaches for identifying high-poverty counties: robust features of DMSP/OLS night-time light imagery
	Li, Guie; Cai, Zhongliang; Liu, Xiaojian; Liu, Ji; Su, Shiliang
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40期号:15
ISSN号	0143-1161
DOI	10.1080/01431161.2019.1580820
URL标识	查看原文
收录类别	SSCI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4264504
专题	武汉大学
推荐引用方式 GB/T 7714	Li, Guie,Cai, Zhongliang,Liu, Xiaojian,et al. A comparison of machine learning approaches for identifying high-poverty counties: robust features of DMSP/OLS night-time light imagery[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(15).
APA	Li, Guie,Cai, Zhongliang,Liu, Xiaojian,Liu, Ji,&Su, Shiliang.(2019).A comparison of machine learning approaches for identifying high-poverty counties: robust features of DMSP/OLS night-time light imagery.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(15).
MLA	Li, Guie,et al."A comparison of machine learning approaches for identifying high-poverty counties: robust features of DMSP/OLS night-time light imagery".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.15(2019).

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