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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:IEEE Access
المؤلفون الرئيسيون: Bileesh Plakkal Babu, Swathi Jamjala Narayanan
التنسيق: مقال
اللغة:الإنجليزية
منشور في: IEEE 2024-01-01
الموضوعات:
Automatic target recognition
computer vision
convolutional neural network
hyperparameter tuning
synthetic aperture radar
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/10443009/

الانترنت

https://ieeexplore.ieee.org/document/10443009/

مواد مشابهة