A CNN-LSTM Network for Augmenting Target Detection in Real Maritime Wide Area Surveillance Radar Data

A CNN-LSTM Network for Augmenting Target Detection in Real Maritime Wide Area Surveillance Radar Data

Typical radar detectors exploit only a small proportion of the valuable information contained in radar reflections, i.e. magnitude and Doppler. A neural network-based approach for augmenting traditional radar detector structures using machine learning (ML) is proposed in this paper. Specifically, th...

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Bibliographic Details
Main Authors: Zachary Baird, Michael K. Mcdonald, Sreeraman Rajan, Simon J. Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
CNN
LSTM
maritime surveillance
wide area surveillance radar
Online Access:https://ieeexplore.ieee.org/document/9214513/

Internet

https://ieeexplore.ieee.org/document/9214513/

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