Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features

Ebrahim Ali Nehary, Ankita Dey, Sreeraman Rajan, Bhashyam Balaji, Anthony Damini, Rajkumar Chanchlani. Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features. In IEEE Sensors Applications Symposium, SAS 2023, Ottawa, ON, Canada, July 18-20, 2023. pages 1-6, IEEE, 2023. [doi]

@inproceedings{NeharyDRBDC23,
  title = {Synthetic Aperture Radar-Based Ship Classification Using CNN and Traditional Handcrafted Features},
  author = {Ebrahim Ali Nehary and Ankita Dey and Sreeraman Rajan and Bhashyam Balaji and Anthony Damini and Rajkumar Chanchlani},
  year = {2023},
  doi = {10.1109/SAS58821.2023.10254064},
  url = {https://doi.org/10.1109/SAS58821.2023.10254064},
  researchr = {https://researchr.org/publication/NeharyDRBDC23},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE Sensors Applications Symposium, SAS 2023, Ottawa, ON, Canada, July 18-20, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-2307-8},
}