Comparison of spectrogram, persistence spectrum and percentile spectrum based image representation performances in drone detection and classification using novel HMFFNet: Hybrid Model with Feature Fusion Network-Reference-Cited by-同舟云学术

Comparison of spectrogram, persistence spectrum and percentile spectrum based image representation performances in drone detection and classification using novel HMFFNet: Hybrid Model with Feature Fusion Network

Published:2022-11 Issue: Volume:206 Page:117654
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Kumbasar Nida^ORCID,Kılıç Rabiye,Oral Emin Argun^ORCID,Ozbek Ibrahim Yucel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Hybrid CNN-SVM classifier for handwritten digit recognition;Ahlawat;Procedia Computer Science,2020

2. Using deep networks for drone detection;Aker,2017

3. Audio based drone detection and identification using deep learning;Al-Emadi,2019

4. Drone detection approach based on radio-frequency using convolutional neural network;Al-Emadi,2020

5. Transfer learning with convolutional neural networks for moving target classification with micro-Doppler radar spectrograms;Al Hadhrami,2018

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