FLEDNet: Enhancing the Drone Classification in the Radio Frequency Domain

FLEDNet: Enhancing the Drone Classification in the Radio Frequency Domain

Researchers are actively pursuing advancements in convolutional neural networks and their application in anti-drone systems for drone classification tasks. Our study investigates the hypothesis that the accuracy of drone classification in the radio frequency domain can be enhanced through a hybrid a...

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Bibliographic Details
Main Authors: Boban Sazdic-Jotic, Milenko Andric, Boban Bondzulic, Slobodan Simic, Ivan Pokrajac
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Drones
Subjects:
classification
convolutional neural network
convolutional recurrent neural network
detection
drone
edge detection
Online Access:https://www.mdpi.com/2504-446X/9/4/243
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