Hyperspectral image classification of the deep neural network based on 3D convolution and dense connection

Remote Sensing Intelligent Interpretation | Views:1680Downloads:2284CSCD:2

Export
Share
Collection
Album

Hyperspectral image classification of the deep neural network based on 3D convolution and dense connection
- role：First author第一作者
- Affiliation：
  College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
- Email：116638307@qq.com
- Introduction：宋廷强，研究方向为数据、人工智能、遥感的理论和应用。E-mail： 116638307@qq.com
SONG Tingqiang
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
- Email：594880373@qq.com
- Introduction：宗达，研究方向为图像处理、人工智能、高光谱应用。E-mail： 594880373@qq.com
ZONG Da
1 * ,
- Affiliation：
  College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
LIU Tongxin
1 * ,
- Affiliation：
  Zhuhai Orbita Aerospace Science&Technology Co., Ltd. Artificial Intelligence Research Institute, Zhuhai 519080, China
FAN Haisheng
2 * ,
- Affiliation：
  Zhuhai Orbita Aerospace Science&Technology Co., Ltd. Artificial Intelligence Research Institute, Zhuhai 519080, China
HUANG Tengjie
2 * ,
- Affiliation：
  Zhuhai Orbita Aerospace Science&Technology Co., Ltd. Artificial Intelligence Research Institute, Zhuhai 519080, China
JIANG Xiaoxu
2 * ,
- Affiliation：
  College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
WANG Haoyu
1 *
Vol. 26, Issue 11, Pages: 2317-2328(2022)
DOI：10.11834/jrs.20210313
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 36 ) Tabs( 3 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Hyperspectral image classification based on spectral deformable convolution neural network

A multiscale segment anything model with fine-tuning and high-frequency enhancement for semantic segmentation of remote sensing images

LSENet： A local subdomain-aware and edge-enhanced dynamic fusion network for semantic segmentation of airborne LiDAR point clouds

Research on dust detection method using U-Net with Spatial-Spectral Attention mechanism： A case study based on FY-4A satellite data

Analysis of the δ-M+ method and its application on a polarized radiative transfer model

Related Author

XUE Zhaohui 河海大学地球科学与工程学院;河海大学江苏省水资源环境遥感监测评估工程研究中心

LI Bo 河海大学地球科学与工程学院;河海大学江苏省水资源环境遥感监测评估工程研究中心

Zhaohui XUE 河海大学地球科学与工程学院

Bo LI 河海大学地球科学与工程学院;河海大学江苏省水资源环境遥感监测评估工程研究中心

DONG Yuqing 南京信息工程大学遥感与测绘工程学院

LIU Dongsheng 南京信息工程大学遥感与测绘工程学院

ZHOU Xinxin 南京邮电大学地理与生物信息学院

Lyu Hongchen 北京超图软件股份有限公司

Related Institution

School of Earth Sciences and Engineering, Hohai University

Jiangsu Province Engineering Research Center of Water Resources and Environment Assessment Using Remote Sensing, Hohai University

School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology

School of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications

Beijing Supermap Software Co., Ltd.