A Combined CNN-LSTM Network for Ship Classification on SAR Images

A Combined CNN-LSTM Network for Ship Classification on SAR Images

Satellite SAR (synthetic aperture radar) imagery offers global coverage and all-weather recording capabilities, making it valuable for applications like remote sensing and maritime surveillance. However, its use in machine learning-based automatic target classification faces challenges, including th...

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Bibliographic Details
Main Authors: Abdelmalek Toumi, Jean-Christophe Cexus, Ali Khenchaf, Mahdi Abid
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
SAR imagery
ships classification
deep learning
convolutional neural networks
synthetic aperture radar (SAR)
Online Access:https://www.mdpi.com/1424-8220/24/24/7954
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