An unmanned aerial vehicle autonomous flight trajectory planning method and algorithm for the early detection of the ignition source during fire monitoring-Reference-Cited by-同舟云学术

An unmanned aerial vehicle autonomous flight trajectory planning method and algorithm for the early detection of the ignition source during fire monitoring

Published:2024-06-12 Issue:12 Volume:45 Page:4178-4197
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Filist Sergey¹,Al-Kasasbeh Riad Taha²^ORCID,Tomakova Rima Alexandrovna¹,Al-Fugara A’kif³,Al-Habahbeh Osama M.²,Shatolova Olga¹,Korenevskiy Nikolay A.¹,Gorbachev Igor N.¹,Shaqadan Ashraf⁴,Maksim Ilyash⁵

Affiliation:

1. South-West State University, Kursk, Russia

2. Department of Mechatronics Engineering, The University of Jordan, Amman, Jordan

3. Department of Surveying Engineering, Faculty of Engineering, Al al-Bayt University, Mafraq, Jordan

4. Civil Engineering Department, Zarqa University, Zarqa, Jordan

5. ITMO University Kronverksky, Sankt-Peterburg, Russia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2358451

Reference22 articles.

1. Impact of anthropogenic climate change on wildfire across western US forests

2. Agrawal, A., B. Cashore, R. Hardin, G. Shepherd, C. Benson, and D. Miller. 2013. “Economic Contributions of Forests.” In United Nations Forum on Forests Tenth Session, 132. United Nations: Istanbul, Turkey. https://www.un.org/esa/forests/wp-content/uploads/2015/12/EcoContrForests.pdf.

3. Application the Spiking Neuron Model with Structural Adaptation to Describe Neuromorphic Systems

4. Changing Weather Extremes Call for Early Warning of Potential for Catastrophic Fire

5. Bayesian Hyperspectral Image Segmentation With Discriminative Class Learning