Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study

Adversarial Examples for CNN-Based SAR Image Classification: An Experience Study

Synthetic aperture radar (SAR) has all-day and all-weather characteristics and plays an extremely important role in the military field. The breakthroughs in deep learning methods represented by convolutional neural network (CNN) models have greatly improved the SAR image recognition accuracy. Classi...

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Bibliographic Details
Main Authors: Haifeng Li, Haikuo Huang, Li Chen, Jian Peng, Haozhe Huang, Zhenqi Cui, Xiaoming Mei, Guohua Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adversarial example (AE)
convolutional neural network (CNN)
synthetic aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/9261933/

Internet

https://ieeexplore.ieee.org/document/9261933/

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