Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Zhao, Zhi
Ji, Kefeng
Xing, Xiangwei
Chen, Wenting
and
Zou, Huanxin
2013.
Ship Classification with High Resolution TerraSAR-X Imagery Based on Analytic Hierarchy Process.
International Journal of Antennas and Propagation,
Vol. 2013,
Issue. ,
p.
1.
Kelly, Alice
and
Kelly, Nina
2014.
Validating the Remotely Sensed Geography of Crime: A Review of Emerging Issues.
Remote Sensing,
Vol. 6,
Issue. 12,
p.
12723.
Szlapczynski, Rafal
and
Szlapczynska, Joanna
2015.
A Target Information Display for Visualising Collision Avoidance Manoeuvres in Various Visibility Conditions.
Journal of Navigation,
Vol. 68,
Issue. 6,
p.
1041.
Plass, Simon
Poehlmann, Robert
Hermenier, Romain
and
Dammann, Armin
2015.
Global Maritime Surveillance by Airliner-Based AIS Detection: Preliminary Analysis.
Journal of Navigation,
Vol. 68,
Issue. 6,
p.
1195.
Bruzzone, Lorenzo
Bovolo, Francesca
Lang, Haitao
Wu, Siwen
Lai, Quan
and
Ma, Li
2016.
Capability of geometric features to classify ships in SAR imagery.
Vol. 10004,
Issue. ,
p.
1000415.
Zhang, Hui
Liu, Yongxin
Ji, Yonggang
Wang, Linglin
and
Zhang, Jie
2017.
Multi-Feature Maximum Likelihood Association with Space-borne SAR, HFSWR and AIS.
Journal of Navigation,
Vol. 70,
Issue. 2,
p.
359.
Szlapczynski, Rafal
and
Szlapczynska, Joanna
2017.
A method of determining and visualizing safe motion parameters of a ship navigating in restricted waters.
Ocean Engineering,
Vol. 129,
Issue. ,
p.
363.
Vieira, Fabio Manzoni
Vincent, Francois
Tourneret, Jean-Yves
Bonacci, David
Spigai, Marc
Ansart, Marie
and
Richard, Jacques
2017.
Improving synthetic aperture radar detection using the automatic identification system.
p.
1.
Kang, Miao
Ji, Kefeng
Leng, Xiangguang
and
Lin, Zhao
2017.
Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection.
Remote Sensing,
Vol. 9,
Issue. 8,
p.
860.
Lang, Haitao
Wu, Siwen
and
Xu, Yongjie
2018.
Ship Classification in SAR Images Improved by AIS Knowledge Transfer.
IEEE Geoscience and Remote Sensing Letters,
Vol. 15,
Issue. 3,
p.
439.
Alexandrov, Chavdar
Kolev, Nikolay
Sivkov, Yordan
Hristov, Avgustin
and
Tsvetkov, Miroslav
2018.
Sentinel-1 SAR Images of Inland Waterways Traffic.
p.
1.
Fournier, Mélanie
Casey Hilliard, R.
Rezaee, Sara
and
Pelot, Ronald
2018.
Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016).
WMU Journal of Maritime Affairs,
Vol. 17,
Issue. 3,
p.
311.
Snapir, Boris
Waine, Toby
and
Biermann, Lauren
2019.
Maritime Vessel Classification to Monitor Fisheries with SAR: Demonstration in the North Sea.
Remote Sensing,
Vol. 11,
Issue. 3,
p.
353.
Yang, Dong
Wu, Lingxiao
Wang, Shuaian
Jia, Haiying
and
Li, Kevin X.
2019.
How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications.
Transport Reviews,
Vol. 39,
Issue. 6,
p.
755.
Svanberg, Martin
Santén, Vendela
Hörteborn, Axel
Holm, Henrik
and
Finnsgård, Christian
2019.
AIS in maritime research.
Marine Policy,
Vol. 106,
Issue. ,
p.
103520.
Tanveer, Hashir
Balz, Timo
and
Mohamdi, Bahaa
2019.
Using convolutional neural network (CNN) approach for ship detection in Sentinel-1 SAR imagery.
p.
1.
Xiu, Supu
Wen, Yuanqiao
Yuan, Haiwen
Xiao, Changshi
Zhan, Wenqiang
Zou, Xiong
Zhou, Chunhui
and
Shah, Sayed Chhattan
2019.
A Multi-Feature and Multi-Level Matching Algorithm Using Aerial Image and AIS for Vessel Identification.
Sensors,
Vol. 19,
Issue. 6,
p.
1317.
Kganyago, Mahlatse
and
Mhangara, Paidamwoyo
2019.
The Role of African Emerging Space Agencies in Earth Observation Capacity Building for Facilitating the Implementation and Monitoring of the African Development Agenda: The Case of African Earth Observation Program.
ISPRS International Journal of Geo-Information,
Vol. 8,
Issue. 7,
p.
292.
Zhang, Tianwen
Zhang, Xiaoling
Shi, Jun
and
Wei, Shunjun
2019.
Depthwise Separable Convolution Neural Network for High-Speed SAR Ship Detection.
Remote Sensing,
Vol. 11,
Issue. 21,
p.
2483.
Lensu, Mikko
and
Goerlandt, Floris
2019.
Big maritime data for the Baltic Sea with a focus on the winter navigation system.
Marine Policy,
Vol. 104,
Issue. ,
p.
53.