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Ship detection using GNSS-reflectometry in backscattering configuration
2018 IEEE Radar Conference (RadarConf18), 2018The 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
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Lightweight SAR Ship Detection
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023K. Aa Sørensen +2 more
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Ship Detection Using Polarization Cross-Entropy
IEEE Geoscience and Remote Sensing Letters, 2009In 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
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YOLOv5 ship: An improved ship target detection algorithm study
Proceedings of the 2023 7th International Conference on Advances in Artificial Intelligence, 2023Wang Pu +5 more
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Self-supervised SAR ship detection
Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2023Xiaokang Ren, Nannan Cai
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Ship detection with deep learning: a survey
Artificial Intelligence Review, 2023Meng Joo Er, 亚妮 张
exaly
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
Remote Sensing, 2021Tianwen Zhang, Xiaoling Zhang, Xiaowo Xu
exaly
Ship detection and classification from optical remote sensing images: A survey
Chinese Journal of Aeronautics, 2021Xiaoyang Xie
exaly
Dark Ship detection: SAR Images
2023 XXVI International Conference on Soft Computing and Measurements (SCM), 2023M. S. Prasad +2 more
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Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
Engineering Applications of Artificial Intelligence, 2023Xinqiang Chen, Jakub Montewka, Wen Liu
exaly

