Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module

Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module

Abstract The widespread misuse of drones has become a pressing concern for both public safety and privacy in recent years. The accurate identification and classification of these devices has become a practical imperative, albeit an intricate and demanding challenge. Aiming to effectively separate mi...

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Bibliographic Details
Main Authors: Jiangong Ni, Zhigang Zhou
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
UAV
Deep learning
Attention module
Blind source separation
Online Access:https://doi.org/10.1038/s41598-025-07946-y
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https://doi.org/10.1038/s41598-025-07946-y

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