Hyperspectral classification algorithm based on covariance pooling and cross scale feature extraction

Hyperspectral Object Identification | Views:660Downloads:2001CSCD:1

Hyperspectral classification algorithm based on covariance pooling and cross scale feature extraction
- role：First author第一作者
- Affiliation：
  Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China
- Email：wangle@stu.hubu.edu.cn
- Introduction：汪乐，研究方向为图像处理。E-mail： wangle@stu.hubu.edu.cn
WANG Le
1 * ,
- Affiliation：
  Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China
  Industrial Research Institute of Remote Sensing, Ningbo University, Shiye Intelligent Technology Co., Ltd., Ningbo 315211, China
PENG Jiangtao
13 * ,
- Affiliation：
  Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China
CHEN Na
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China
  Industrial Research Institute of Remote Sensing, Ningbo University, Shiye Intelligent Technology Co., Ltd., Ningbo 315211, China
- Email：sunweiwei@nbu.edu.cn
- Introduction：孙伟伟，研究方向为多源遥感协同智能解译与海岸带健康监测。E-mail：sunweiwei@nbu.edu.cn
SUN Weiwei
23 *
Vol. 28, Issue 1, Pages: 203-218(2024)
DOI：10.11834/jrs.20242326
Accepted：

Scan QR Code

Alert me when the article has been cited

Submit

Related Articles

Related Author

ZHOU Shuyu 北京林业大学林学院林木资源高效生产全国重点实验室;北京林业大学林学院精准林业北京市重点实验室;北京林业大学森林培育与保护教育部重点实验室

ZHANG Xiaoli 北京林业大学林学院林木资源高效生产全国重点实验室;北京林业大学林学院精准林业北京市重点实验室;北京林业大学森林培育与保护教育部重点实验室

YAO Zongqi 北京林业大学林学院林木资源高效生产全国重点实验室;北京林业大学林学院精准林业北京市重点实验室;北京林业大学森林培育与保护教育部重点实验室

LI Guoyan 天津城建大学计算机与信息工程学院

LIU Tao 天津城建大学计算机与信息工程学院

WANG Li 天津城建大学计算机与信息工程学院

LIU Yi 天津城建大学计算机与信息工程学院

XIE Yifan 北京林业大学林木资源高效生产全国重点实验室;北京林业大学精准林业北京市重点实验室;北京林业大学森林培育与保护教育部重点实验室

Related Institution

Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University

Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University

State Key Laboratory of Efficient Production of Forest Resources, College of Forestry, Beijing Forestry University

School of Computer and Information Engineering, Tianjin Chengjian University

Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University

AI Introduction