Cam-PC: A Novel Method for Camouflaging Point Clouds to Counter Adversarial Deception in Remote Sensing-Reference-Cited by-同舟云学术

Cam-PC: A Novel Method for Camouflaging Point Clouds to Counter Adversarial Deception in Remote Sensing

Published:2024 Issue: Volume:17 Page:56-67
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:

Wei Bo¹^ORCID,Huang Teng²^ORCID,Zhang Xi³^ORCID,Liang Jiaming²^ORCID,Li Yunhao²^ORCID,Cao Cong²,Li Dan²^ORCID,Chen Yongfeng⁴^ORCID,Xiong Huagang¹^ORCID,Jiang Feng⁵,Zhang Xiqiu³^ORCID

Affiliation:

1. School of Electronic and Information Engineering, Beihang University, Beijing, China

2. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

3. School of Art, Sun Yat-sen University, Guangzhou, China

4. Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China

5. Department of Computer Sciences, Metropolitan State University of Denver, Denver, CO, USA

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10285331.pdf?arnumber=10285331

Reference42 articles.

1. Sparse‐Dyn: Sparse dynamic graph multirepresentation learning via event‐based sparse temporal attention network

2. Camdar‐adv: Generating adversarial patches on 3D object

3. Graph Decipher: A transparent dual‐attention graph neural network to understand the message‐passing mechanism for the node classification

4. Pointnext: Revisiting pointnet++ with improved training and scaling strategies;qian;Adv Neural Inf Process Syst,2022

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

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