CNN with coefficient of variation-based dimensionality reduction for hyperspectral remote sensing images classification

Technology and Methodology | Views:960Downloads:1915CSCD:0

Export
Share
Collection
Album

CNN with coefficient of variation-based dimensionality reduction for hyperspectral remote sensing images classification
- role：First author第一作者
- Affiliation：
  Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
  Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
  University of Chinese Academy of Sciences, Beijing 100049, China
- Email：zhangkang1128@126.com
- Introduction：张康(1992—　)，女，硕士研究生，研究方向为遥感图像处理、机器学习等。E-mail：zhangkang1128@126.com
Kang ZHANG
123 * ,
- role：Corresponding author通信作者
- Affiliation：
  Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
  Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
- Email：heibq@csu.ac.cn
- Introduction：黑保琴(1975—　)，女，高级工程师，研究方向为信号与信息处理。E-mail：heibq@csu.ac.cn
Baoqin HEI
12 * ,
- Affiliation：
  Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
  Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
Zhuang ZHOU
12 * ,
- Affiliation：
  Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
  Key Laboratory of Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
Shengyang LI
12 *
Vol. 22, Issue 1, Pages: 87-96(2018)
Accepted：30 June 2017 ，
DOI：10.11834/jrs.20187075
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 7 ) Tabs( 0 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

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

CNN with local binary patterns for hyperspectral images classification

A spatiotemporal-aware and cascaded alignment framework for remote sensing image change detection

Drone-based remote sensing identification of Himalayan marmot holes integrating habitat information

Empirical study on the spatial-temporal distribution and formation factors of water surface sun glint in Sentinel-2 MSI imagery

Related Author

YU Long 中山大学地理科学与规划学院

ZHUO Li 中山大学地理科学与规划学院

LI Jun 中国地质大学(武汉) 计算机学院, 智能地学信息处理湖北省重点实验室

DUAN Yilin 中国地质大学(武汉) 计算机学院, 智能地学信息处理湖北省重点实验室

Xiangpo WEI 信息工程大学

Xuchu YU 信息工程大学

Pengqiang ZHANG 信息工程大学

Lu ZHI 信息工程大学

Related Institution

School of Geography and Planning, Sun Yat-sen University

Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, China University of Geosciences

Information Engineering University

Hubei Key Laboratory of Intelligent Geo-Information Processing, School of Computer Science, University of Geosciences

School of Electronics and Information Engineering, Lanzhou Jiaotong University