SNR‐dependent drone classification using convolutional neural networks
Abstract Radar sensing offers a method of achieving 24‐h all‐weather drone surveillance, but in order to be maximally effective, systems need to be able to discriminate between birds and drones. This work examines drone‐bird classification performance as a function of signal to noise ratio (SNR). Cl...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | IET Radar, Sonar & Navigation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rsn2.12161 |