https://oldena.lpnu.ua/handle/ntb/52453| Title: | Forest Fire Monitoring System Based on UAV team, Remote Sensing, and Image Processing |
| Authors: | Sherstiuk, Volodymyr Zharikova, Marina Sokol, Igor |
| Affiliation: | Kherson National Technical University Maritime Institute of Postgraduate Education |
| Bibliographic description (Ukraine): | Sherstiuk V. Forest Fire Monitoring System Based on UAV team, Remote Sensing, and Image Processing / Volodymyr Sherstiuk, Marina Zharikova, Igor Sokol // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 590–594. — (Machine Vision and Pattern Recognition). |
| Bibliographic description (International): | Sherstiuk V. Forest Fire Monitoring System Based on UAV team, Remote Sensing, and Image Processing / Volodymyr Sherstiuk, Marina Zharikova, Igor Sokol // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 590–594. — (Machine Vision and Pattern Recognition). |
| Is part of: | Data stream mining and processing : proceedings of the IEEE second international conference, 2018 |
| Conference/Event: | IEEE second international conference "Data stream mining and processing" |
| Issue Date: | 28-Feb-2018 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів |
| Temporal Coverage: | 21-25 August 2018, Lviv |
| Keywords: | unmanned air vehicles forest fire monitoring remote sensing image processing fire detection |
| Number of pages: | 5 |
| Page range: | 590-594 |
| Start page: | 590 |
| End page: | 594 |
| Abstract: | This work presents the fire monitoring and detecting system for tactical forest fire-fighting operations based on a team of unmanned aerial vehicles, remote sensing, and image processing. The idea of such a system and its general parameters and possibilities are described. Functions and missions of the system, as well as its architecture, are considered. The image processing and remote sensing algorithms are presented, a way for data integration into a real-time DSS is proposed. The results of experimental research of the prototype system are presented. The combination of multi-UAV-based automatic monitoring, remote sensing and image processing techniques provides required credibility and efficiency of the fire detection. |
| URI: | https://ena.lpnu.ua/handle/ntb/52453 |
| ISBN: | © Національний університет „Львівська політехніка“, 2018 © Національний університет „Львівська політехніка“, 2018 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2018 |
| References (Ukraine): | [1] M. C. Arienti, S. G. Cumming, and S. Boutin, “Empirical models of forest fire initial attack success probabilities: The effects of fuels, anthropogenic linear features, fire weather, and management,” Can. J. For. Res., vol. 36, pp. 3155–3166, 2006. [2] V. Ambrosia and T. Zajkowski, “Selection of Appropriate Class UAS/Sensors to Support Fire Monitoring: Experiences in the United States,” in Handbook of Unmanned Aerial Vehicles, Springer Netherlands, 2015, pp. 2723–2754. [3] M. Zharikova and V. Sherstjuk,“Development of the Model of Natural Emergencies in Decision Support System,” EasternEuropean Journal of Enterprise Technologies, vol. 4(73), no. 1, pp. 62–69, 2015. [4] R. S. Allison, J. M. Johnston, G. Craig, and S. Jennings, “Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring,” Sensors, vol. 16, no. 8, p. 1310, 2016. [5] J. Martínez de Dios, B. Arrue, L. Merino, A. Ollero, and F. GómezRodríguez, “Computer vision techniques for forest fire perception,” Image and Vision Computing, vol. 26, no. 4, pp. 550–562, 2007. [6] H. Olsson, M. Egberth, J. Engberg, J. Fransson, T. Pahlén et al, “Current and Emerging Operational Uses of Remote Sensing in Swedish Forestry,” in Proc. of the 5th Annual Forest Inventory and Analysis Symposium, US Forest Service, Portland, USA, pp. 39–46, 2005. [7] C. Yuan, Y. Zhang, and Z. Liu, “A Survey on Technologies for Automatic Forest Fire Monitoring, Detection and Fighting Using UAVs and Remote Sensing Techniques,” Canadian Journal of Forest Research, vol. 45, no. 7, pp. 783–792, 2015. [8] D. Kolaric, K. Skala, and A. Dubravic, “Integrated system for forest fire early detection and management,” Period. Biol., vol. 110, no. 2, pp. 205–211, 2008. [9] C. Yuan, Y. Zhang, and Z. Liu, “UAVs-based forest fire detection and tracking using image processing techniques,” in Int. Conf. on Unmanned Aircraft Systems, pp. 639–643, 2015. [10] J. Martínez de Dios, B. Arrue, L. Merino, A. Ollero, and F. GómezRodríguez, “Computer vision techniques for forest fire perception,” Image and Vision Computing, vol. 26, no. 4, pp. 550–562, 2007. [11] H. Olsson, M. Egberth, J. Engberg, J. Fransson, T. Pahlén et al, “Current and Emerging Operational Uses of Remote Sensing in Swedish Forestry,” in Proc. of the 5th Annual Forest Inventory and Analysis Symposium, US Forest Service, Portland, USA, pp. 39–46, 2005. [12] L. Merino, J. Martínez de Dios, and A. Ollero, “Cooperative Unmanned Aerial Systems for Fire Detection, Monitoring, and Extinguishing”, in Handbook of Unmanned Aerial Vehicles, Springer Netherlands, 2015, pp. 2693–2722. [13] G. Chen, J. Zhao, L. Yuan, Z. Ke, M. Gu, and T. Wang, “Implementation of a geological disaster monitoring and early warning system based on multi-source spatial data: a case study of Deqin Country, Yunnan Province”, Nat. Hazards Earth Syst. Sci. Discussions, vol. 2017, pp. 1–15, 2017. [14] M. Chi, A. Plaza, J.A. Beneditsson, Z. Sun, J. Shen, and Y. Zhu, “Big data for remote sensing: challenges and opportunities”, in Proc. of the IEEE, vol. 104, no. 11, pp 2207–2219, 2016. DOI: 10.1109/JPROC.2016.2598228 [15] M. Zharikova, V. Sherstjuk, and N. Baranovskij, “The Plausible Wildfire Model in Geoinformation Decision Support System for Wildfire Response,” in Proc. of the 15th Int. Multidisciplinary Sc. Geoconference SGEM-2015, Albena, Bulgaria, vol. 2, book 3, pp. 575–583, 2015. |
| References (International): | [1] M. C. Arienti, S. G. Cumming, and S. Boutin, "Empirical models of forest fire initial attack success probabilities: The effects of fuels, anthropogenic linear features, fire weather, and management," Can. J. For. Res., vol. 36, pp. 3155–3166, 2006. [2] V. Ambrosia and T. Zajkowski, "Selection of Appropriate Class UAS/Sensors to Support Fire Monitoring: Experiences in the United States," in Handbook of Unmanned Aerial Vehicles, Springer Netherlands, 2015, pp. 2723–2754. [3] M. Zharikova and V. Sherstjuk,"Development of the Model of Natural Emergencies in Decision Support System," EasternEuropean Journal of Enterprise Technologies, vol. 4(73), no. 1, pp. 62–69, 2015. [4] R. S. Allison, J. M. Johnston, G. Craig, and S. Jennings, "Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring," Sensors, vol. 16, no. 8, p. 1310, 2016. [5] J. Martínez de Dios, B. Arrue, L. Merino, A. Ollero, and F. GómezRodríguez, "Computer vision techniques for forest fire perception," Image and Vision Computing, vol. 26, no. 4, pp. 550–562, 2007. [6] H. Olsson, M. Egberth, J. Engberg, J. Fransson, T. Pahlén et al, "Current and Emerging Operational Uses of Remote Sensing in Swedish Forestry," in Proc. of the 5th Annual Forest Inventory and Analysis Symposium, US Forest Service, Portland, USA, pp. 39–46, 2005. [7] C. Yuan, Y. Zhang, and Z. Liu, "A Survey on Technologies for Automatic Forest Fire Monitoring, Detection and Fighting Using UAVs and Remote Sensing Techniques," Canadian Journal of Forest Research, vol. 45, no. 7, pp. 783–792, 2015. [8] D. Kolaric, K. Skala, and A. Dubravic, "Integrated system for forest fire early detection and management," Period. Biol., vol. 110, no. 2, pp. 205–211, 2008. [9] C. Yuan, Y. Zhang, and Z. Liu, "UAVs-based forest fire detection and tracking using image processing techniques," in Int. Conf. on Unmanned Aircraft Systems, pp. 639–643, 2015. [10] J. Martínez de Dios, B. Arrue, L. Merino, A. Ollero, and F. GómezRodríguez, "Computer vision techniques for forest fire perception," Image and Vision Computing, vol. 26, no. 4, pp. 550–562, 2007. [11] H. Olsson, M. Egberth, J. Engberg, J. Fransson, T. Pahlén et al, "Current and Emerging Operational Uses of Remote Sensing in Swedish Forestry," in Proc. of the 5th Annual Forest Inventory and Analysis Symposium, US Forest Service, Portland, USA, pp. 39–46, 2005. [12] L. Merino, J. Martínez de Dios, and A. Ollero, "Cooperative Unmanned Aerial Systems for Fire Detection, Monitoring, and Extinguishing", in Handbook of Unmanned Aerial Vehicles, Springer Netherlands, 2015, pp. 2693–2722. [13] G. Chen, J. Zhao, L. Yuan, Z. Ke, M. Gu, and T. Wang, "Implementation of a geological disaster monitoring and early warning system based on multi-source spatial data: a case study of Deqin Country, Yunnan Province", Nat. Hazards Earth Syst. Sci. Discussions, vol. 2017, pp. 1–15, 2017. [14] M. Chi, A. Plaza, J.A. Beneditsson, Z. Sun, J. Shen, and Y. Zhu, "Big data for remote sensing: challenges and opportunities", in Proc. of the IEEE, vol. 104, no. 11, pp 2207–2219, 2016. DOI: 10.1109/JPROC.2016.2598228 [15] M. Zharikova, V. Sherstjuk, and N. Baranovskij, "The Plausible Wildfire Model in Geoinformation Decision Support System for Wildfire Response," in Proc. of the 15th Int. Multidisciplinary Sc. Geoconference SGEM-2015, Albena, Bulgaria, vol. 2, book 3, pp. 575–583, 2015. |
| Content type: | Conference Abstract |
| Appears in Collections: | Data stream mining and processing : proceedings of the IEEE second international conference |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Sherstiuk_V-Forest_Fire_Monitoring_590-594.pdf | 158.03 kB | Adobe PDF | View/Open | |
| 2018_Sherstiuk_V-Forest_Fire_Monitoring_590-594__COVER.png | 621.75 kB | image/png | View/Open |
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