Radar High-Resolution Range Profile Ship Recognition Using Two-Channel Convolutional Neural Networks Concatenated with Bidirectional Long Short-Term Memory

Radar High-Resolution Range Profile Ship Recognition Using Two-Channel Convolutional Neural Networks Concatenated with Bidirectional Long Short-Term Memory

Radar automatic target recognition is a critical research topic in radar signal processing. Radar high-resolution range profiles (HRRPs) describe the radar characteristics of a target, that is, the characteristics of the target that is reflected by the microwave emitted by the radar are implicit in...

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Bibliographic Details
Main Authors: Chih-Lung Lin, Tsung-Pin Chen, Kuo-Chin Fan, Hsu-Yung Cheng, Chi-Hung Chuang
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Remote Sensing
Subjects:
radar automatic target recognition (RATR)
high-resolution range profile (HRRP)
graphics processing unit (GPU)
convolutional neural networks (CNN)
long short-term memory network (LSTM)
bidirectional long short-term memory network (BiLSTM)
Online Access:https://www.mdpi.com/2072-4292/13/7/1259

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https://www.mdpi.com/2072-4292/13/7/1259

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