Camera-based wildfire smoke detection for foggy environments-Reference-Cited by-同舟云学术

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Camera-based wildfire smoke detection for foggy environments

Published:2022-10-27 Issue:05 Volume:31 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Taş Merve¹,Taş Yusuf²,Balki Oğuzhan³,Aydın Zafer⁴,Taşdemir Kasım⁴

Affiliation:

1. Abdullah Gul University, Graduate School of Engineering and Natural Sciences, Department of Electrical and Computer Engineering, Kayseri, Turkey

2. Erciyes University, Graduate School of Natural Applied Sciences, Kayseri, Turkey

3. Old Dominion University, Department of Electrical and Computer Engineering, Norfolk, Virginia, United States

4. Abdullah Gul University, Artificial Intelligence Research Group (AGU AI Research Group), Kayseri, Turkey

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A lightweight multiscale smoke segmentation algorithm based on improved DeepLabV3+;IET Image Processing;2024-05-24

2. Defogging Learning Based on an Improved DeepLabV3+ Model for Accurate Foggy Forest Fire Segmentation;Forests;2023-09-13

3. Research on Insect Pest Identification in Rice Canopy Based on GA-Mask R-CNN;Agronomy;2023-08-17

4. Video segmentation of industrial smoke based on dynamic fully convolutional network-Gaussian mixture model and multi-scale fusion attention module;Journal of Electronic Imaging;2023-06-30

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