A Novel Multispectral Maritime Target classification based on ThermalGAN (RGB-to-Thermal Image Translation)-Reference-Cited by-同舟云学术

A Novel Multispectral Maritime Target classification based on ThermalGAN (RGB-to-Thermal Image Translation)

Published:2023-01-19 Issue: Volume: Page:1-21
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Mohamed El Mahdi Bouchenafa¹^ORCID,Abdelkrim Nemra²,Abdenour Amamra³^ORCID,Zohir Irki¹,Wassim Boubertakh¹,Fethi Demim²^ORCID

Affiliation:

1. Embedded systems laboratory, Ecole Militaire Polytechnique, Algiers, Algeria

2. Guidance and navigation laboratory, Ecole Militaire Polytechnique, Algiers, Algeria

3. Artificial intelligence and virtual reality laboratory, Ecole Militaire Polytechnique, Algiers, Algeria

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2023.2165723

Reference33 articles.

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2. Multimodal Deep Learning for Robust Recognizing Maritime Imagery in the Visible and Infrared Spectrums

3. Maritime Vessel Images Classification Using Deep Convolutional Neural Networks

4. Simultaneous localisation and mapping for autonomous underwater vehicle using a combined smooth variable structure filter and extended kalman filter

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