CORC  > 武汉大学
Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter
Tong, Shengwu; Liu, Xiuguo; Chen, Qihao; Zhang, Zhengjia; Xie, Guangqi
刊名REMOTE SENSING
2019
卷号11期号:4
关键词oil spill detection polarimetric SAR self-similarity parameter random forest multi-feature
ISSN号2072-4292
DOI10.3390/rs11040451
URL标识查看原文
收录类别SCIE
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4218302
专题武汉大学
推荐引用方式
GB/T 7714
Tong, Shengwu,Liu, Xiuguo,Chen, Qihao,et al. Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter[J]. REMOTE SENSING,2019,11(4).
APA Tong, Shengwu,Liu, Xiuguo,Chen, Qihao,Zhang, Zhengjia,&Xie, Guangqi.(2019).Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter.REMOTE SENSING,11(4).
MLA Tong, Shengwu,et al."Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter".REMOTE SENSING 11.4(2019).
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