The invention discloses a ship feature re-identification method, application method and
system based on
deep learning, and According to the method, a deep
feature extraction network with the efficientprocessing capability in the field of
image perception is used to extract the deep features with the distinction degree, the deep features with the high-level
perception semantics is autonomously extracted, the change of pixel levels is not depended on, and the overall features are considered, so that the problems of overwater supervision, low ship information query efficiency and the like causedby inaccurate matching and high detection error rate are solved, and the target ship discrimination can be effectively carried out. The PCB partitioning and the
matrix type operation matching have the good recognition effect for the ships only parts of which occur, the matching speed is high, the problems of ship transformation, hidden identity escape supervision and the like are solved, and theintelligent auxiliary effects on the maritime
traffic management, accident investigation, water conservancy
attack illegal
sand mining, navigation channel ship gate passing charging, customs
attack private activities and the like are achieved. Compared with a ship identification method in the prior art, the ship re-identification method has obvious advantages in efficiency, cost and accuracy.