CORC  > 福州大学
Land-Use Classification via Extreme Learning Classifier Based on Deep Convolutional Features
Weng, Qian; Mao, Zhengyuan; Lin, Jiawen; Guo, Wenzhong
刊名IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
2017
卷号14页码:704-708
关键词land-use classification scene understanding Convolutional neural network (CNN) extreme learning machine (ELM)
ISSN号1545-598X
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/2893930
专题福州大学
推荐引用方式
GB/T 7714
Weng, Qian,Mao, Zhengyuan,Lin, Jiawen,et al. Land-Use Classification via Extreme Learning Classifier Based on Deep Convolutional Features[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2017,14:704-708.
APA Weng, Qian,Mao, Zhengyuan,Lin, Jiawen,&Guo, Wenzhong.(2017).Land-Use Classification via Extreme Learning Classifier Based on Deep Convolutional Features.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,14,704-708.
MLA Weng, Qian,et al."Land-Use Classification via Extreme Learning Classifier Based on Deep Convolutional Features".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 14(2017):704-708.
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