Hyperspectral remote sensing imagery classification based on elastic net and low-rank representation

SU Hongjun; YAO Wenjing; WU Zhaoyue

doi:10.11834/jrs.20210209

Remote Sensing Technology and Method | Views:1051Downloads:1787CSCD:1

Export
Share
Collection
Album

Hyperspectral remote sensing imagery classification based on elastic net and low-rank representation
- role：First author第一作者
- Affiliation：
  School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
- Email：hjsu@hhu.edu.cn
- Introduction：苏红军，研究方向为高光谱遥感、资源环境遥感等研究。E-mail： hjsu@hhu.edu.cn
SU Hongjun
* ,
- Affiliation：
  School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
YAO Wenjing
* ,
- Affiliation：
  School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
WU Zhaoyue
*
Vol. 26, Issue 11, Pages: 2354-2368(2022)
DOI：10.11834/jrs.20210209
Accepted：

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 51 ) Tabs( 8 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Dynamic selection algorithm for collaborative representation of hyperspectral remote sensing based on joint spatial information

Aerial hyperspectral remote sensing classification dataset of Xiongan New Area （Matiwan Village）

Advances in graph neural network-based hyperspectral remote sensing image classification

Estimation of leaf nitrogen content of Carya illinoensis using Fractional-Order Derivative of canopy-scale hyperspectral data

Delineating riparian zones and analyzing ecological patterns via inundation frequency： A case study of the middle-lower reaches of Yangtze River

Related Author

YU Yao 江苏省基础地理信息中心

SU Hongjun 河海大学地球科学与工程学院

TAO Yang 江苏省基础地理信息中心

CEN Yi 中国科学院空天信息创新研究院遥感科学国家重点实验室

ZHANG Lifu 中国科学院空天信息创新研究院遥感科学国家重点实验室

ZHANG Xia 中国科学院空天信息创新研究院遥感科学国家重点实验室

WANG Yueming 中国科学院上海技术物理研究所中国科学院空间主动光电技术重点实验室

QI Wenchao 中国科学院空天信息创新研究院遥感科学国家重点实验室

Related Institution

Basic Geographic Information Center of Jiangsu Province

School of Earth Science and Engineering, Hohai University

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences

School of Geography and Planning, Sun Yat-sen University