survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has...
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| Published in | Canadian journal of forest research Vol. 45; no. 7; pp. 783 - 792 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Ottawa
NRC Research Press
01.07.2015
Canadian Science Publishing NRC Research Press |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has shown increasing promise. This paper presents a systematic overview of current progress in this field. First, a brief review of the development and system architecture of UAV systems for forest fire monitoring, detection, and fighting is provided. Next, technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs. The final section outlines existing challenges and potential solutions in the application of UAVs to forest firefighting. |
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| AbstractList | Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has shown increasing promise. This paper presents a systematic overview of current progress in this field. First, a brief review of the development and system architecture of UAV systems for forest fire monitoring, detection, and fighting is provided. Next, technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs. The final section outlines existing challenges and potential solutions in the application of UAVs to forest firefighting. Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has shown increasing promise. This paper presents a systematic overview of current progress in this field. First, a brief review of the development and system architecture of UAV systems for forest fire monitoring, detection, and fighting is provided. Next, technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs. The final section outlines existing challenges and potential solutions in the application of UAVs to forest firefighting.Original Abstract: Etant donne qu'ils sont rapidement manoeuvrables, qu'ils ont un grand rayon d'action operationnel et qu'ils offrent une meilleure securite pour le personnel, les vehicules aeriens sans pilote (UAV) equipes de systemes de vision ont un potentiel enorme pour surveiller, detecter et combattre les feux de foret. Au cours de la derniere decennie, la technologie de lutte contre les feux de foret qui utilise des UAV s'est averee de plus en plus prometteuse. Cet article presente un apercu complet des progres actuels dans ce domaine. D'abord, une breve revue du developpement et de l'architecture des systemes de surveillance, de detection et de combat des feux de foret qui utilisent des UAV est presentee. Ensuite, les technologies reliees a la surveillance, a la detection et au combat des feux de foret sont brievement passees en revue, incluant celles qui sont associees a la detection, au diagnostic et au pronostic des feux, a l'elimination de la vibration des images et au controle cooperatif des UAV. La derniere section decrit les defis actuels et les solutions potentielles lies a l'utilisation des UAV dans la lutte contre les feux de foret. [Traduit par la Redaction] Because of their rapid maneuverability, extended operational range, and improved personnel safety, unmanned aerial vehicles (UAVs) with vision-based systems have great potential for monitoring, detecting, and fighting forest fires. Over the last decade, UAV-based forest fire fighting technology has shown increasing promise. This paper presents a systematic overview of current progress in this field. First, a brief review of the development and system architecture of UAV systems for forest fire monitoring, detection, and fighting is provided. Next, technologies related to UAV forest fire monitoring, detection, and fighting are briefly reviewed, including those associated with fire detection, diagnosis, and prognosis, image vibration elimination, and cooperative control of UAVs. The final section outlines existing challenges and potential solutions in the application of UAVs to forest firefighting. Key words: forest fire, fire monitoring, detection, and fighting, image processing, remote sensing, unmanned aerial vehicles. Etant donne qu'ils sont rapidement manoeuvrables, qu'ils ont un grand rayon d'action operationnel et qu'ils offrent une meilleure securite pour le personnel, les vehicules aeriens sans pilote (UAV) equipes de systemes de vision ont un potentiel enorme pour surveiller, detecter et combattre les feux de foret. Au cours de la derniere decennie, la technologie de lutte contre les feux de foret qui utilise des UAV s'est averee de plus en plus prometteuse. Cet article presente un apercu complet des progres actuels dans ce domaine. D'abord, une breve revue du developpement et de l'architecture des systemes de surveillance, de detection et de combat des feux de foret qui utilisent des UAV est presentee. Ensuite, les technologies reliees a la surveillance, a la detection et au combat des feux de foret sont brievement passees en revue, incluant celles qui sont associees a la detection, au diagnostic et au pronostic des feux, a l'elimination de la vibration des images et au controle cooperatif des UAV. La derniere section decrit les defis actuels et les solutions potentielles lies a l'utilisation des UAV dans la lutte contre les feux de foret. [Traduit par la Redaction] Mots-cles : feu de foret, surveillance, detection et combat des feux, traitement des images, teledetection, vehicules aeriens sans pilote. |
| Abstract_FL | Étant donné qu’ils sont rapidement manœuvrables, qu’ils ont un grand rayon d’action opérationnel et qu’ils offrent une meilleure sécurité pour le personnel, les véhicules aériens sans pilote (UAV) équipés de systèmes de vision ont un potentiel énorme pour surveiller, détecter et combattre les feux de forêt. Au cours de la dernière décennie, la technologie de lutte contre les feux de forêt qui utilise des UAV s’est avérée de plus en plus prometteuse. Cet article présente un aperçu complet des progrès actuels dans ce domaine. D’abord, une brève revue du développement et de l’architecture des systèmes de surveillance, de détection et de combat des feux de forêt qui utilisent des UAV est présentée. Ensuite, les technologies reliées à la surveillance, à la détection et au combat des feux de forêt sont brièvement passées en revue, incluant celles qui sont associées à la détection, au diagnostic et au pronostic des feux, à l’élimination de la vibration des images et au contrôle coopératif des UAV. La dernière section décrit les défis actuels et les solutions potentielles liés à l’utilisation des UAV dans la lutte contre les feux de forêt. [Traduit par la Rédaction] |
| Audience | Academic |
| Author | Yuan, Chi Zhixiang Liu Youmin Zhang |
| Author_xml | – sequence: 1 fullname: Yuan, Chi – sequence: 2 fullname: Youmin Zhang – sequence: 3 fullname: Zhixiang Liu |
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| CODEN | CJFRAR |
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| Cites_doi | 10.1080/10106049.2010.539302 10.1007/978-90-481-9707-1_74 10.1109/ACC.2005.1470520 10.1002/rob.20108 10.1109/CRV.2010.29 10.1117/12.751611 10.1109/IIH-MSP.2006.164 10.1016/j.engappai.2003.12.001 10.1007/978-3-642-40633-1_93 10.1002/rob.20383 10.1016/j.dsp.2013.07.003 10.1023/A:1008163332131 10.1007/s10694-009-0110-z 10.1109/ROBOT.2005.1570388 10.1109/ROBOT.2004.1307132 10.1142/S230138501550003X 10.1109/ALPIT.2008.49 10.2193/0091-7648(2006)34[750:AAOSUA]2.0.CO;2 10.1007/s10462-012-9345-z 10.1088/0957-0233/21/10/105501 10.1080/00207720500438480 10.2514/1.48403 10.1016/j.buildenv.2009.10.017 10.1109/TCST.2014.2341658 10.1109/INDIN.2003.1300349 10.1139/x90-063 10.1071/WF05004 10.2298/CSIS101012030Z 10.1016/S0925-7535(01)00021-2 10.1016/j.firesaf.2006.05.009 10.1139/x93-137 10.1109/WCSE.2009.864 10.1016/j.patrec.2008.01.013 10.1016/j.arcontrol.2008.03.008 10.1002/9781118377178.ch6 10.1007/s10846-011-9560-x 10.2514/6.2007-2749 10.1007/978-3-642-04697-1_2 10.1007/978-3-540-69389-5_6 10.1080/10106049.2010.531769 10.1109/TGRS.2008.2006505 10.1109/AIM.2009.5229791 10.1109/IGARSS.2006.251 10.1109/ICIP.2005.1530284 10.1016/j.rse.2006.10.023 10.1109/ASC-ICSC.2008.4675411 10.1109/CDC.2007.4434345 10.1016/j.jvcir.2006.12.003 10.1016/S0967-0661(98)00141-5 10.1109/ICPR.2010.953 10.1109/IJCNN.2007.4371026 10.1139/x97-103 10.1109/CNSI.2011.47 10.1111/j.1477-9730.2006.00352.x 10.1007/s10846-010-9497-5 10.1016/S0167-8655(01)00135-0 10.1007/978-90-481-9707-1_73 10.1016/j.patrec.2005.06.015 10.1155/2013/402196 10.1016/S0924-2716(01)00030-2 10.1109/ICIP.2004.1421401 10.1109/ROBOT.2004.1307123 10.1016/S0957-4174(03)00095-2 10.1007/978-3-540-73958-6_8 10.1109/IGARSS.2005.1526355 10.1007/978-90-481-3018-4_7 10.1016/j.firesaf.2008.05.005 10.1016/j.rse.2006.09.029 10.1109/ICASSP.2007.366130 10.1109/5254.846287 10.1109/AERO.2007.353054 10.1109/NAFIPS.2009.5156419 10.1051/forest:2005109 10.1016/j.firesaf.2009.04.003 10.3390/s110606328 10.1109/CISP.2012.6469641 10.14358/PERS.69.4.391 10.1109/TGRS.2008.2010457 10.1109/TIP.2012.2183141 10.1007/BF02588606 10.1007/s11042-009-0451-0 10.1016/S1003-6326(12)61635-5 10.1109/JPROC.2006.876930 10.1080/15481603.2014.926650 10.1016/j.foreco.2006.08.292 10.2514/1.45342 10.1109/CISP.2009.5304997 10.1109/MRA.2005.1458323 10.1109/ATC.2009.5349391 10.1016/j.imavis.2007.07.002 10.1109/ICMLC.2009.5212165 10.1016/j.future.2004.09.013 10.1139/juvs-2013-0017 |
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| References | refg47/ref47 refg18/ref18 refg22/ref22 refg76/ref76 refg51/ref51 refg25/ref25 refg15/ref15 refg80/ref80 Everaerts J. (refg33/ref33) 2008; 37 refg79/ref79 refg54/ref54 refg57/ref57 refg37/ref37 refg93/ref93 refg10/ref10 refg1/ref1 refg32/ref32 refg86/ref86 refg35/ref35 refg59/ref59 refg61/ref61 refg42/ref42 refg67/ref67 refg13/ref13 refg27/ref27 refg90/ref90 refg56/ref56 refg38/ref38 refg45/ref45 refg49/ref49 refg99/ref99 refg92/ref92 refg9/ref9 refg34/ref34 refg71/ref71 refg88/ref88 Vipin V. (refg106/ref106) 2012; 2 refg60/ref60 refg77/ref77 Kolarić D. (refg53/ref53) 2008; 110 refg23/ref23 refg17/ref17 refg66/ref66 refg12/ref12 refg55/ref55 refg39/ref39 refg3/ref3 refg87/ref87 refg44/ref44 refg81/ref81 refg100/ref100 refg70/ref70 refg98/ref98 refg113/ref113 refg114/ref114 refg40/ref40 refg65/ref65 refg115/ref115 refg116/ref116 refg117/ref117 refg36/ref36 refg118/ref118 refg72/ref72 refg11/ref11 refg6/ref6 refg97/ref97 refg26/ref26 refg14/ref14 refg5/ref5 refg68/ref68 refg94/ref94 refg110/ref110 refg111/ref111 refg112/ref112 refg19/ref19 refg107/ref107 refg21/ref21 refg75/ref75 refg109/ref109 refg7/ref7 refg48/ref48 refg82/ref82 refg78/ref78 refg24/ref24 refg16/ref16 refg101/ref101 refg50/ref50 refg103/ref103 refg20/ref20 refg85/ref85 refg31/ref31 refg96/ref96 refg52/ref52 refg8/ref8 refg2/ref2 refg30/ref30 refg84/ref84 refg41/ref41 refg69/ref69 refg62/ref62 Li M. (refg58/ref58) 2013; 49 Qi X. (refg89/ref89) 2009; 2 refg73/ref73 |
| References_xml | – ident: refg7/ref7 doi: 10.1080/10106049.2010.539302 – ident: refg76/ref76 doi: 10.1007/978-90-481-9707-1_74 – ident: refg15/ref15 doi: 10.1109/ACC.2005.1470520 – ident: refg73/ref73 doi: 10.1002/rob.20108 – ident: refg109/ref109 doi: 10.1109/CRV.2010.29 – ident: refg114/ref114 doi: 10.1117/12.751611 – ident: refg25/ref25 doi: 10.1109/IIH-MSP.2006.164 – ident: refg52/ref52 doi: 10.1016/j.engappai.2003.12.001 – ident: refg60/ref60 doi: 10.1007/978-3-642-40633-1_93 – ident: refg70/ref70 doi: 10.1002/rob.20383 – ident: refg20/ref20 doi: 10.1016/j.dsp.2013.07.003 – ident: refg34/ref34 doi: 10.1023/A:1008163332131 – ident: refg112/ref112 doi: 10.1007/s10694-009-0110-z – ident: refg72/ref72 doi: 10.1109/ROBOT.2005.1570388 – ident: refg54/ref54 doi: 10.1109/ROBOT.2004.1307132 – ident: refg97/ref97 doi: 10.1142/S230138501550003X – ident: refg27/ref27 doi: 10.1109/ALPIT.2008.49 – volume: 37 start-page: 1187 year: 2008 ident: refg33/ref33 publication-title: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ident: refg51/ref51 doi: 10.2193/0091-7648(2006)34[750:AAOSUA]2.0.CO;2 – ident: refg61/ref61 doi: 10.1007/s10462-012-9345-z – ident: refg92/ref92 doi: 10.1088/0957-0233/21/10/105501 – ident: refg16/ref16 doi: 10.1080/00207720500438480 – ident: refg55/ref55 doi: 10.2514/1.48403 – ident: refg23/ref23 doi: 10.1016/j.buildenv.2009.10.017 – ident: refg96/ref96 doi: 10.1109/TCST.2014.2341658 – ident: refg78/ref78 doi: 10.1109/INDIN.2003.1300349 – ident: refg56/ref56 doi: 10.1139/x90-063 – ident: refg65/ref65 doi: 10.1071/WF05004 – ident: refg116/ref116 doi: 10.2298/CSIS101012030Z – volume: 49 start-page: 700 issue: 2 year: 2013 ident: refg58/ref58 publication-title: J. Theor. Appl. Inf. Technol. – ident: refg48/ref48 doi: 10.1016/S0925-7535(01)00021-2 – ident: refg85/ref85 doi: 10.1016/j.firesaf.2006.05.009 – ident: refg71/ref71 doi: 10.1139/x93-137 – ident: refg111/ref111 doi: 10.1109/WCSE.2009.864 – ident: refg113/ref113 doi: 10.1016/j.patrec.2008.01.013 – ident: refg115/ref115 doi: 10.1016/j.arcontrol.2008.03.008 – ident: refg21/ref21 doi: 10.1002/9781118377178.ch6 – ident: refg75/ref75 doi: 10.1007/s10846-011-9560-x – ident: refg22/ref22 doi: 10.2514/6.2007-2749 – ident: refg93/ref93 doi: 10.1007/978-3-642-04697-1_2 – ident: refg30/ref30 doi: 10.1007/978-3-540-69389-5_6 – ident: refg86/ref86 doi: 10.1080/10106049.2010.531769 – volume: 2 start-page: 22 issue: 09 year: 2009 ident: refg89/ref89 publication-title: Int. J. Imaging – ident: refg117/ref117 doi: 10.1109/TGRS.2008.2006505 – ident: refg42/ref42 doi: 10.1109/AIM.2009.5229791 – ident: refg110/ref110 doi: 10.1109/IGARSS.2006.251 – ident: refg103/ref103 doi: 10.2514/6.2007-2749 – ident: refg100/ref100 doi: 10.1109/ICIP.2005.1530284 – ident: refg59/ref59 doi: 10.1016/j.rse.2006.10.023 – ident: refg87/ref87 doi: 10.1109/ASC-ICSC.2008.4675411 – ident: refg98/ref98 doi: 10.1109/CDC.2007.4434345 – ident: refg18/ref18 doi: 10.1016/j.jvcir.2006.12.003 – ident: refg80/ref80 doi: 10.1016/S0967-0661(98)00141-5 – ident: refg40/ref40 doi: 10.1109/ICPR.2010.953 – ident: refg47/ref47 doi: 10.1109/IJCNN.2007.4371026 – ident: refg62/ref62 doi: 10.1139/x97-103 – ident: refg99/ref99 doi: 10.1109/CNSI.2011.47 – ident: refg39/ref39 doi: 10.1111/j.1477-9730.2006.00352.x – ident: refg69/ref69 doi: 10.1007/s10846-010-9497-5 – ident: refg88/ref88 doi: 10.1016/S0167-8655(01)00135-0 – ident: refg5/ref5 doi: 10.1007/978-90-481-9707-1_73 – ident: refg101/ref101 doi: 10.1016/j.patrec.2005.06.015 – ident: refg41/ref41 – ident: refg12/ref12 doi: 10.1155/2013/402196 – ident: refg77/ref77 doi: 10.1016/S0924-2716(01)00030-2 – ident: refg24/ref24 doi: 10.1109/ICIP.2004.1421401 – ident: refg81/ref81 doi: 10.1109/ROBOT.2004.1307123 – ident: refg3/ref3 doi: 10.1016/S0957-4174(03)00095-2 – ident: refg66/ref66 doi: 10.1007/978-3-540-73958-6_8 – ident: refg118/ref118 doi: 10.1109/IGARSS.2005.1526355 – ident: refg50/ref50 – ident: refg2/ref2 doi: 10.1007/978-90-481-3018-4_7 – ident: refg17/ref17 doi: 10.1016/j.firesaf.2008.05.005 – ident: refg84/ref84 doi: 10.1016/j.rse.2006.09.029 – ident: refg19/ref19 doi: 10.1109/ICASSP.2007.366130 – ident: refg9/ref9 doi: 10.1109/5254.846287 – ident: refg32/ref32 doi: 10.1109/AERO.2007.353054 – ident: refg35/ref35 doi: 10.1109/NAFIPS.2009.5156419 – ident: refg36/ref36 doi: 10.1051/forest:2005109 – ident: refg37/ref37 doi: 10.1016/j.firesaf.2009.04.003 – ident: refg68/ref68 doi: 10.3390/s110606328 – ident: refg90/ref90 doi: 10.1109/CISP.2012.6469641 – ident: refg6/ref6 doi: 10.14358/PERS.69.4.391 – ident: refg11/ref11 doi: 10.1109/TGRS.2008.2010457 – ident: refg38/ref38 doi: 10.1109/TIP.2012.2183141 – ident: refg8/ref8 doi: 10.1007/BF02588606 – ident: refg45/ref45 doi: 10.1007/s11042-009-0451-0 – ident: refg57/ref57 doi: 10.1016/S1003-6326(12)61635-5 – volume: 110 start-page: 205 issue: 2 year: 2008 ident: refg53/ref53 publication-title: Period. Biol. – ident: refg10/ref10 doi: 10.1109/JPROC.2006.876930 – ident: refg94/ref94 doi: 10.1080/15481603.2014.926650 – ident: refg79/ref79 doi: 10.1016/j.foreco.2006.08.292 – ident: refg13/ref13 doi: 10.2514/1.45342 – ident: refg44/ref44 doi: 10.1109/CISP.2009.5304997 – ident: refg82/ref82 doi: 10.1109/MRA.2005.1458323 – volume: 2 start-page: 87 issue: 2 year: 2012 ident: refg106/ref106 publication-title: Emerging Technology and Advanced Engineering – ident: refg107/ref107 – ident: refg14/ref14 – ident: refg31/ref31 doi: 10.1109/ATC.2009.5349391 – ident: refg67/ref67 doi: 10.1016/j.imavis.2007.07.002 – ident: refg49/ref49 doi: 10.1109/ICMLC.2009.5212165 – ident: refg1/ref1 doi: 10.1016/j.future.2004.09.013 – ident: refg26/ref26 doi: 10.1139/juvs-2013-0017 |
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| SubjectTerms | and fighting Control detection détection et combat des feux Environmental monitoring feu de forêt fire detection fire fighting fire monitoring Firefighting Forest & brush fires forest fire Forest fires Forest management human resources image processing maneuverability Methods monitoring prognosis Remote sensing surveillance surveys traitement des images télédétection Unmanned aerial vehicles vibration véhicules aériens sans pilote |
| Title | survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques |
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