An Improved Rotation Forest for Multi-Feature Remote-Sensing Imagery Classification | |
Xiu, Yingchang; Liu, Wenbao; Yang, Wenjing | |
刊名 | REMOTE SENSING
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2017 | |
卷号 | 9期号:11 |
关键词 | classifier ensembles feature extraction boosting naive Bayesian tree rotation forest multi-feature imagery classification |
DOI | 10.3390/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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