Dr. Toygar Akgun Profile

Dr. Toygar Akgun

Assistant Professor at TOBB ETÜ

SPIE Involvement:

Author

Area of Expertise:

visual computing , computer vision , machine learning , deep learning , GPGPU

Websites:

Personal Website

Publications (5)

Proceedings Article | 20 November 2024 Presentation + Paper

Multi-mode infrared image colorization

Suleyman Emir Akin, Toygar Akgun

Proceedings Volume 13196, 1319606 (2024) https://doi.org/10.1117/12.3037131

KEYWORDS: Infrared imaging, Thermography, RGB color model, Near infrared, Visualization, Color, Education and training, Infrared radiation, Image fusion, Head, Deep convolutional neural networks, Deep learning

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Proceedings Article | 1 November 2024 Presentation + Paper

The influence of optical turbulence on closed-loop DIRCM identification performance

Safa Oytun Işıklı, Emre Bor, Utku Görkem Yasa, Mehmet Ziya Keskin, Ahmet Başaran, Ziya Gürkan Figen, Toygar Akgün, Tayfun Aytaç, Berkay Bozok, Mesut Salman, Yelda Atalık

Proceedings Volume 13201, 132010F (2024) https://doi.org/10.1117/12.3031268

KEYWORDS: Directed infrared countermeasures, Optical turbulence, Laser beam propagation

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Proceedings Article | 9 October 2018 Presentation + Paper

Analysis of optical fading in phase-OTDR distributed acoustic sensing systems: the effects of fading in threat detection

Metin Aktas, Hakan Maral, Toygar Akgun

Proceedings Volume 10787, 107870F (2018) https://doi.org/10.1117/12.2325641

KEYWORDS: Scattering, Optical fiber cables, Light scattering, Laser sources, Laser scattering, Rayleigh scattering, Signal detection, Optical testing, Signal attenuation, Bragg cells

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Proceedings Article | 23 February 2018 Presentation + Paper

A model-based analysis of extinction ratio effects on phase-OTDR distributed acoustic sensing system performance

Metin Aktas, Hakan Maral, Toygar Akgun

Proceedings Volume 10526, 105260Y (2018) https://doi.org/10.1117/12.2289488

KEYWORDS: Scattering, Optical fiber cables, Rayleigh scattering, Bragg cells, Signal attenuation, Light sources, Linear filtering, Signal detection, Light scattering, Signal to noise ratio

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Proceedings Article | 27 April 2017 Presentation + Paper

Deep learning based multi-threat classification for phase-OTDR fiber optic distributed acoustic sensing applications

Metin Aktas, Toygar Akgun, Mehmet Umut Demircin, Duygu Buyukaydin

Proceedings Volume 10208, 102080G (2017) https://doi.org/10.1117/12.2262108

KEYWORDS: Acoustics, Classification systems, Signal detection, Fiber optics, Neural networks, Sensing systems, Optical fiber cables, Optical sensing, Sensors, Electronic filtering, Wavelets, Time-frequency analysis, Denoising, Interference (communication), Signal processing

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