POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment

Stefania Matteoli, Laura Zotta, Marco Diani, Giovanni Corsini. POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10(11):5110-5133, 2017. [doi]

@article{MatteoliZDC17-0,
  title = {POSEIDON: An Analytical End-to-End Performance Prediction Model for Submerged Object Detection and Recognition by Lidar Fluorosensors in the Marine Environment},
  author = {Stefania Matteoli and Laura Zotta and Marco Diani and Giovanni Corsini},
  year = {2017},
  doi = {10.1109/JSTARS.2017.2737645},
  url = {https://doi.org/10.1109/JSTARS.2017.2737645},
  researchr = {https://researchr.org/publication/MatteoliZDC17-0},
  cites = {0},
  citedby = {0},
  journal = {IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing},
  volume = {10},
  number = {11},
  pages = {5110-5133},
}