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Ship detection using GNSS-reflectometry in backscattering configuration

2018 IEEE Radar Conference (RadarConf18), 2018
The chance of exploiting the Global Navigation Satellite Systems-Reflectometry (GNSS-R) remote sensing technology in the field of maritime surveillance and ship traffic monitoring has been explored in the very recent past. The conventional bistatic GNSS-R is based on the acquisition of GNSS navigation messages in a forward-scattering geometry, where ...
DI Simone A.   +3 more
openaire   +2 more sources

Lightweight SAR Ship Detection

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
K. Aa Sørensen   +2 more
openaire   +1 more source

Ship Detection Using Polarization Cross-Entropy

IEEE Geoscience and Remote Sensing Letters, 2009
In this letter, polarization cross-entropy is introduced based on the eigendecomposition of the polarimetric coherence matrix. Then, the new parameter is employed for ship detection. From experimental results, it is derived that the distribution of the polarization cross-entropy in ocean regions can be well approximated by a generalized exponential ...
null Jiong Chen   +2 more
openaire   +1 more source

YOLOv5 ship: An improved ship target detection algorithm study

Proceedings of the 2023 7th International Conference on Advances in Artificial Intelligence, 2023
Wang Pu   +5 more
openaire   +1 more source

Self-supervised SAR ship detection

Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2023
Xiaokang Ren, Nannan Cai
openaire   +1 more source

Ship detection with deep learning: a survey

Artificial Intelligence Review, 2023
Meng Joo Er, 亚妮 张
exaly  

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

Remote Sensing, 2021
Tianwen Zhang, Xiaoling Zhang, Xiaowo Xu
exaly  

Dark Ship detection: SAR Images

2023 XXVI International Conference on Soft Computing and Measurements (SCM), 2023
M. S. Prasad   +2 more
openaire   +1 more source

Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach

Engineering Applications of Artificial Intelligence, 2023
Xinqiang Chen, Jakub Montewka, Wen Liu
exaly  

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