Optimizing Target Recognition in Synthetic Aperture Radar Imagery: A Hyperparameter- Tuned Approach With Iterative Transfer Learning and Branched-Convolutional Neural Network

Real-world deployment of Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) often faces challenges due to the computational demands of Convolutional Neural Networks (CNNs). This paper proposes an innovative solution, combining Iterative Transfer Learning (ITL) with a lightweight br...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Bileesh Plakkal Babu, Swathi Jamjala Narayanan
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Automatic target recognition computer vision convolutional neural network hyperparameter tuning synthetic aperture radar
Online Access:	https://ieeexplore.ieee.org/document/10443009/