Moving Ship Optimal Association for Maritime Surveillance: Fusing AIS and Sentinel-2 Data-Reference-Cited by-同舟云学术

Moving Ship Optimal Association for Maritime Surveillance: Fusing AIS and Sentinel-2 Data

Published:2022 Issue: Volume:60 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Zhenjie¹^ORCID,Xu Jianming¹^ORCID,Li Jun²^ORCID,Plaza Antonio³^ORCID,Zhang Shaoquan⁴^ORCID,Wang Lizhe²^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

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

3. Department of Technology of Computers and Communications, Escuela Politécnica, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain

4. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, School of Information Engineering, Nanchang Institute of Technology, Nanchang, China

Funder

National Science Foundation for Distinguished Young Scholars of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09978709.pdf?arnumber=9978709

Reference113 articles.

1. An Enhanced Spatio-spectral Template for Automatic Small Recreational Vessel Detection

2. Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding