Ship wake detection for SAR images with complex backgrounds based on morphological dictionary learning

@article{Yang2016ShipWD,
  title={Ship wake detection for SAR images with complex backgrounds based on morphological dictionary learning},
  author={Guozheng Yang and Jing Yu and Chuangbai Xiao and Weidong Sun},
  journal={2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2016},
  pages={1896-1900}
}
The ship wake detection of SAR images is useful not only in estimating the speed and the direction of moving ships, but also in finding small ships which are hard to be detected. The traditional ship wake detection methods of SAR images can achieve satisfactory results in simple backgrounds, but hardly work in complex backgrounds. In this paper, we propose a novel method based on the morphological component analysis and the dictionary learning to detect ship wakes in complex backgrounds. In our… CONTINUE READING

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An enhancing normalized radon transform method for ship wake detection in SAR imagery

  • X. Xing, K. Ji, H. Zou, J. Sun, S. Zhou, Z. Li
  • 9th European Conference on Synthetic Aperture…
  • 2012
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