CORC  > 武汉大学
Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery
Zhong, Yanfei
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2015
卷号53期号:11
关键词Fusion high spatial resolution (HSR) imagery latent Dirichlet allocation (LDA) multifeature probabilistic latent semantic analysis (pLSA) probabilistic topic model (PTM) scene classification
ISSN号0196-2892
DOI10.1109/TGRS.2015.2435801
URL标识查看原文
收录类别SCIE ; EI ; ESI高被引论文
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4050526
专题武汉大学
推荐引用方式
GB/T 7714
Zhong, Yanfei. Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2015,53(11).
APA Zhong, Yanfei.(2015).Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,53(11).
MLA Zhong, Yanfei."Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 53.11(2015).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace