Daytime sea fog detection based on multi-scale feature fusion of generated adversarial network under attention mechanism

Artificial Intelligence (AI) for Remote Sensing | Views:2492Downloads:4070CSCD:1

Export
Share
Collection
Album

Daytime sea fog detection based on multi-scale feature fusion of generated adversarial network under attention mechanism
- role：First author第一作者
- Affiliation：
  Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
- Email：fangxuyuan1130@163.com
- Introduction：方旭源，研究方向为海雾监测、深度学习。E-mail： fangxuyuan1130@163.com
FANG Xuyuan
1 * ,
- role：Corresponding author通信作者
- Affiliation：
  Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
- Email：xyjw1969@126.com
- Introduction：金炜，研究方向为遥感图像处理、医学影像处理。E-mail： xyjw1969@126.com
JIN Wei
1 * ,
- Affiliation：
  Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
FU Randi
1 * ,
- Affiliation：
  Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
LI Gang
1 * ,
- Affiliation：
  Zhenhai District Meteorological Bureau, Ningbo 315202, China
HE Caifen
2 * ,
- Affiliation：
  Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
YI Caoqian
1 *
Vol. 27, Issue 12, Pages: 2736-2747(2023)
DOI：10.11834/jrs.20221621
Accepted：

Scan QR Code

Scan QR Code

Quote
Translate The Full Text
DOI：
DOI：

Full Text(HTML)
Figs( 15 ) Tabs( 6 )
References
Publication Info
Metrics

摘要

Abstract

关键词

Keywords

references

Alert me when the article has been cited

Submit

Related Articles

Small target detection method for remote sensing images with multi-attention mechanism

River discharge estimation by integrating Sentinel-2 and machine learning： A case study of the Tangnaihai Hydrometry Station

Multimodal object detection method using adaptive dusion of infrared and visible features

Fusion of panchromatic and multispectral remote sensing images using a dual-branch generative adversarial network combined with Transformer

Recent advances in assimilating remote sensing–derived parameters into crop growth models

Related Author

Xuyuan FANG 宁波大学信息科学与工程学院

Wei JIN 宁波大学信息科学与工程学院

Randi FU 宁波大学信息科学与工程学院

Gang LI 宁波大学信息科学与工程学院

Caifen HE 宁波市镇海区气象局

Caoqian YI 宁波大学信息科学与工程学院

XIAO Zhenjiu 辽宁工程技术大学软件学院

ZHAO Zhihao 辽宁工程技术大学软件学院

Related Institution

School of Software, Liaoning Technical University

Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment

Key Laboratory of Satellite Remote Sensing,Ministry of Ecology and Environment

School of Information Engineering, China University of Geosciences

Faculty of Geosciences and Engineering, Southwest Jiaotong University