A Mutual-Attention Guided Feature Extraction and Adaptative Decision Fusion Framework for Fine-Grained Dual-Band Radar Target Classification

A Mutual-Attention Guided Feature Extraction and Adaptative Decision Fusion Framework for Fine-Grained Dual-Band Radar Target Classification

Fine-grained radar target classification based on single-band, such as wideband or narrowband, poses challenges even when utilizing deep learning methods. Since different bands reflect distinct characteristics of the targets, we focus on the fine-grained classification of radar aircraft benefits fro...

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Bibliographic Details
Main Authors: Ao Zhong, Shiguo Chen, Tianyu Wang, Yao Ma, Yawei Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adaptive decision fusion (DF)
deep learning
dual-band
fine-grained classification
mutual-attention selection
Online Access:https://ieeexplore.ieee.org/document/10470381/

Internet

https://ieeexplore.ieee.org/document/10470381/

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