Ship Target Detection Based on Sea Antenna Guidance and Convolution Neural Network
MEI Shengyang
TIAN Jinwen
Abstract：Infrared ship target detection plays an important role in automatic target recognition system.Shipboard target detec-tion in the background of sea sky can usually detect the sea antenna,thus reducing the calculation of the target detection,improving the efficiency of target detection.Based on the boundary characteristics and the straight line characteristics of the sea antenna,this paper proposes a sea antenna detection method based on multi- characteristic fusion,and obtains good results.On the basis of sea antenna detection,the convolution neural network method is introduced into the ship detection task.Through the self- design of the network structure and self-labeled training samples,ship target detection method based on the convolution neural network is achieved. Experiments show that the sea antenna guidance reduces the computational complexity of the neural network algorithm, making the detection process more practical.The introduction of the neural network also allows the ship target detection task to have a more general and simpler solution.
Keywords：ship target detectionsea antennaconvolution neural networ
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 721-726 )