A Gradually Distilled CNN for SAR Target Recognition

A Gradually Distilled CNN for SAR Target Recognition

Convolutional neural networks (CNNs) have been widely used in synthetic aperture radar (SAR) target recognition. Traditional CNNs suffer from expensive computation and high memory consumption, impeding their deployment in real-time recognition systems of SAR sensors, as these systems have low memory...

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Bibliographic Details
Main Authors: Rui Min, Hai Lan, Zongjie Cao, Zongyong Cui
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
SAR target recognition
micro convolutional neural network
knowledge distillation
model compression
ternary network
Online Access:https://ieeexplore.ieee.org/document/8672576/

Internet

https://ieeexplore.ieee.org/document/8672576/

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