Digital-to-Physical Visual Consistency Optimization for Adversarial Patch Generation in Remote Sensing Scenes-Reference-Cited by-同舟云学术

Digital-to-Physical Visual Consistency Optimization for Adversarial Patch Generation in Remote Sensing Scenes

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Chen Jianqi¹^ORCID,Zhang Yilan¹,Liu Chenyang¹^ORCID,Chen Keyan¹^ORCID,Zou Zhengxia²^ORCID,Shi Zhenwei¹^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics, and the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. Department of Guidance, Navigation and Control, School of Astronautics, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10521633.pdf?arnumber=10521633

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3. A Degraded Reconstruction Enhancement-Based Method for Tiny Ship Detection in Remote Sensing Images With a New Large-Scale Dataset

4. Contrastive Learning for Fine-Grained Ship Classification in Remote Sensing Images

5. UNFOLD: 3-D U-Net, 3-D CNN, and 3-D Transformer-Based Hyperspectral Image Denoising

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