A Ship Detection Method based on Recurrent Neural Network in a Marine Radar System
Z. Jie, Shu Yu-fen · 2019
A Ship Detection Method based on Recurrent Neural Network in a Marine Radar System is investigated. Considering that the characteristics of the single-frame radar image are not obvious, we selected image sequences concatenated by single-frame radar images as research objects and designed a coding mode to complete the mapping of radar targets to vectors. Our model based on RNN made a good performance on the dataset made by ourselves.