A Physically Realizable Adversarial Attack Method Against SAR Target Recognition Model-Reference-Cited by-同舟云学术

A Physically Realizable Adversarial Attack Method Against SAR Target Recognition Model

Published:2024 Issue: Volume:17 Page:11943-11957
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Fan¹^ORCID,Yu Yameng²^ORCID,Ma Fei²^ORCID,Zhou Yongsheng²^ORCID

Affiliation:

1. College of Information Science and Technology and the Interdisciplinary Research Center for Artificial Intelligence, Beijing University of Chemical Technology, Beijing, China

2. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10577231.pdf?arnumber=10577231

Reference35 articles.

1. A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition

2. Fast Task-Specific Region Merging for SAR Image Segmentation

3. A Sidelobe-Aware Small Ship Detection Network for Synthetic Aperture Radar Imagery

4. What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue

5. SAR Target Incremental Recognition Based on Features With Strong Separability

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