Trajectory Prediction of Marine Moving Target Using Deep Neural Networks with Trajectory Data

Trajectory Prediction of Marine Moving Target Using Deep Neural Networks with Trajectory Data

The position prediction of marine moving targets based on historical trajectories is an important assistance procedure for marine reconnaissance and surveillance. Limited by satellite access period, space-based historic trajectory data have sparse and uneven intervals. However, most current time-ser...

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Bibliographic Details
Main Authors: Xiao Zheng, Xiaodong Peng, Junbao Zhao, Xiaodong Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
sparse non-uniform
trajectory data
convolution neural network
trajectory predict
satellite observation
Online Access:https://www.mdpi.com/2076-3417/12/23/11905

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https://www.mdpi.com/2076-3417/12/23/11905

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