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

Stefania MatteoliLaura ZottaMarco DianiGiovanni Corsini
Published in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2017)
Keyphrases
  • end to end
  • prediction model
  • object detection and recognition
  • regression model
  • neural network
  • real time
  • computer vision
  • boundary detection
  • machine learning
  • admission control
  • semi supervised
  • object categories