Infrared-visible images’ fusion techniques for forest fire monitoring-Reference-Cited by-同舟云学术

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Infrared-visible images’ fusion techniques for forest fire monitoring

Published:2022-05-24 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
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Author:

Tlig Mohamed¹,Bouchouicha Moez²,Sayadi Mounir³,Moreau Eric²

Affiliation:

1. Université de Toulon Aix Marseille Univ, CNRS, LIS, Marseille, France Université de Tunis,Laboratoire SIME, ENSIT,Toulon,France

2. Université de Toulon Aix Marseille Univ, CNRS, LIS, Marseille, France,Toulon,France

3. Université de Tunis,Laboratoire SIME, ENSIT,Tunis,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9805808/9805811/09805812.pdf?arnumber=9805812

Reference12 articles.

1. Nonsubsampled Contourlet Domain Fusion Approach for Infrared and Visible Fire Images

2. Vision-based forest fire detection in aerial images for firefighting using UAVs

3. Infrared and visible image fusion methods and applications: A survey

4. Infrared and visible image fusion using latent low-rank representation;li,2018

5. Method of visual and infrared fusion for moving object detection

Cited by 1 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. Visible and Infrared Image Fusion Framework for Fire Semantic Segmentation Using U-Net-ResNet50;2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS);2022-07-15

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