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An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification
Xiu, Yingchang; Liu, Wenbao; Yang, Wenjing
刊名REMOTE SENSING
2017
卷号9期号:11
关键词classifier ensembles feature extraction boosting naive Bayesian tree rotation forest multi-feature imagery classification
DOI10.3390/rs9111205
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4585426
专题山东大学
作者单位1.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China.
2.Wuhan Univ, Sch Remote Sen
推荐引用方式
GB/T 7714
Xiu, Yingchang,Liu, Wenbao,Yang, Wenjing. An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification[J]. REMOTE SENSING,2017,9(11).
APA Xiu, Yingchang,Liu, Wenbao,&Yang, Wenjing.(2017).An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification.REMOTE SENSING,9(11).
MLA Xiu, Yingchang,et al."An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification".REMOTE SENSING 9.11(2017).
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