Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles
The article is about the methods of machine learning, designed for the detection of wildfires using unmanned aerial vehicles. In the article presented the review of machine learning methods, described the motivation part of machine learning usage and comparison of fire and smoke detection is made. T...
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FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
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| Online Access: | https://fruct.org/publications/fruct24/files/Ale.pdf
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doaj-5a605f2f0ab44591b84f46f76e90dd142020-11-24T21:30:35ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-04-018542439Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial VehiclesDmitriy Alexandrov0Elizaveta Pertseva1Ivan Berman2Igor Pantiukhin3Aleksandr Kapitonov4ITMO University, Saint Petersburg, RussiaITMO University, Saint Petersburg, RussiaITMO University, Saint Petersburg, RussiaITMO University, Saint Petersburg, RussiaITMO University, Saint Petersburg, RussiaThe article is about the methods of machine learning, designed for the detection of wildfires using unmanned aerial vehicles. In the article presented the review of machine learning methods, described the motivation part of machine learning usage and comparison of fire and smoke detection is made. The research was focused on machine learning application for monitoring task with a restrictions according to scenarios of a real monitoring. The results of experiments with demonstration of effectiveness of detection are presented in the conclusion part.https://fruct.org/publications/fruct24/files/Ale.pdf machine learningUAVforest fire detectionsmoke detectionforest monitoring |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Dmitriy Alexandrov Elizaveta Pertseva Ivan Berman Igor Pantiukhin Aleksandr Kapitonov |
| spellingShingle |
Dmitriy Alexandrov Elizaveta Pertseva Ivan Berman Igor Pantiukhin Aleksandr Kapitonov Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles Proceedings of the XXth Conference of Open Innovations Association FRUCT machine learning UAV forest fire detection smoke detection forest monitoring |
| author_facet |
Dmitriy Alexandrov Elizaveta Pertseva Ivan Berman Igor Pantiukhin Aleksandr Kapitonov |
| author_sort |
Dmitriy Alexandrov |
| title |
Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles |
| title_short |
Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles |
| title_full |
Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles |
| title_fullStr |
Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles |
| title_full_unstemmed |
Analysis of Machine Learning Methods for Wildfire Security Monitoring with an Unmanned Aerial Vehicles |
| title_sort |
analysis of machine learning methods for wildfire security monitoring with an unmanned aerial vehicles |
| publisher |
FRUCT |
| series |
Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| issn |
2305-7254 2343-0737 |
| publishDate |
2019-04-01 |
| description |
The article is about the methods of machine learning, designed for the detection of wildfires using unmanned aerial vehicles. In the article presented the review of machine learning methods, described the motivation part of machine learning usage and comparison of fire and smoke detection is made. The research was focused on machine learning application for monitoring task with a restrictions according to scenarios of a real monitoring. The results of experiments with demonstration of effectiveness of detection are presented in the conclusion part. |
| topic |
machine learning UAV forest fire detection smoke detection forest monitoring |
| url |
https://fruct.org/publications/fruct24/files/Ale.pdf
|
| work_keys_str_mv |
AT dmitriyalexandrov analysisofmachinelearningmethodsforwildfiresecuritymonitoringwithanunmannedaerialvehicles AT elizavetapertseva analysisofmachinelearningmethodsforwildfiresecuritymonitoringwithanunmannedaerialvehicles AT ivanberman analysisofmachinelearningmethodsforwildfiresecuritymonitoringwithanunmannedaerialvehicles AT igorpantiukhin analysisofmachinelearningmethodsforwildfiresecuritymonitoringwithanunmannedaerialvehicles AT aleksandrkapitonov analysisofmachinelearningmethodsforwildfiresecuritymonitoringwithanunmannedaerialvehicles |
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1725962694120439808 |