CORC  > 武汉轻工大学
Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation
Mei, Xiaoguang; Ma, Yong; Li, Chang*; Fan, Fan; Huang, Jun; Ma, Jiayi
刊名Neurocomputing
2018
卷号275页码:2783-2797
关键词Hyperspectral image (HSI) Low-rank representation (LRR) Robust generalized bilinear model (RGBM) Sparse noise Spatial correlation Superpixel segmentation (SS)
ISSN号0925-2312
DOI10.1016/j.neucom.2017.11.052
URL标识查看原文
WOS记录号WOS:000418370200254;EI:20180404664918
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/5577971
专题武汉轻工大学
作者单位1.[Mei, Xiaoguang
2.Ma, Jiayi
3.Fan, Fan
4.Ma, Yong
5.Li, Chang
6.Huang, Jun] Wuhan Univ, Elect Informat Sch, Wuhan 430072, Hubei, Peoples R China.
推荐引用方式
GB/T 7714
Mei, Xiaoguang,Ma, Yong,Li, Chang*,et al. Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation[J]. Neurocomputing,2018,275:2783-2797.
APA Mei, Xiaoguang,Ma, Yong,Li, Chang*,Fan, Fan,Huang, Jun,&Ma, Jiayi.(2018).Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation.Neurocomputing,275,2783-2797.
MLA Mei, Xiaoguang,et al."Robust GBM hyperspectral image unmixing with superpixel segmentation based low rank and sparse representation".Neurocomputing 275(2018):2783-2797.
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