Aerial Images-Based Forest Fire Detection for Firefighting Using Optical Remote Sensing Techniques and Unmanned Aerial Vehicles

Yuan, C., Zhang, Y. M., Liu, Z. X.: A survey on technologies for automatic forest fire monitoring, detection and fighting using UAVs and remote sensing techniques. Can. J. Forest Res. 45(7), 783–792 (2015)

Kolarić, D., Skala, K., Dubravić, A.: Integrated system for forest fire early detection and management. Period. Biol. 110(2), 205–211 (2008)

Martinez-de Dios, J. R., Arrue, B. C., Ollero, A., Merino, L., Gómez-Rodríguez, F.: Computer vision techniques for forest fire perception. Image Vision Comput. 26(4), 550–562 (2008)

Gonzalez, J. R., Palahi, M., Trasobares, A., Pukkala, T.: A fire probability model for forest stands in Catalonia (North-East Spain). Ann. For. Sci. 63(2), 169–176 (2006)

Lin, H., Liu, Z., Zhao, T., Zhang, Y.: Early warning system of forest fire detection based on video technology. In: International Symposium on Linear Drives for Industry Applications, pp 751–758 (2014)

Everaerts, J.: The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping. Int. Arch. Photogramm. 37, 1187–1192 (2008)

Berni, J. A., Zarco-Tejada, P. J., Suárez, L., Fereres, E.: Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Remote Sens. 47(3), 722–738 (2009)

Yuan, C., Liu, Z. X., Zhang, Y. M.: UAVS-based forest fire detection and tracking using image processing techniques. In: International Conference on Unmanned Aircraft Systems, pp 639–643 (2015)

Yuan, C., Liu, Z. X., Zhang, Y. M.: Vision-based forest fire detection in aerial images for firefighting using UAVs. In: International Conference on Unmanned Aircraft Systems, pp 1200–1205 (2016)

Sharifi, F., Zhang, Y. M., Aghdam, A. G.: A distributed deployment strategy for multi-agent systems subject to health degradation and communication delays. J. Intell. Rob. Syst. 73(1–4), 623–633 (2014)

Merino, L., Caballero, F., Martínez-de-Dios, J.R., Maza, I., Ollero, A.: An unmanned aircraft system for automatic forest fire monitoring and measurement. J. Intell. Robot. Syst. 65(1-4), 533–548 (2012)

Liu, Z. X., Yuan, C., Zhang, Y. M., Luo, J.: A learning-based fault tolerant tracking control of an unmanned quadrotor helicopter. J. Intell. Robot. Syst., 1–18 (2015)

Liu, Z. X., Yu, X., Yuan, C., Zhang, Y. M.: Leader-follower formation control of unmanned aerial vehicles with fault tolerant and collision avoidance capabilities. In: International Conference on Unmanned Aircraft Systems, pp 1025–1030 (2015)

Ollero, A., Arrue, B. C., Martínez-de-Dios, J.R., Murillo, J.J.: Techniques for reducing false alarms in infrared forest-fire automatic detection systems. Control Eng. Practice. 7(1), 123–131 (1999)

Ferruz, J., Ollero, A.: Real-time feature matching in image sequences for nonstructured environments: applications to vehicle guidance. J. Intell. Robot. Syst. 28(1–2), 85–123 (2000)

Merino, L., Caballero, F., Martínez-de-Dios, J.R., Ferruz, J., Ollero, A.: A cooperative perception system for multiple UAVs: Application to automatic detection of forest fires. J. Field Robot. 23(3-4), 165–184 (2006)

Maza, I., Caballero, F., Capitán, J., Martínez-de-Dios, J.R., Ollero, A.: Experimental results in multi-UAV coordination for disaster management and civil security applications. J. Intell. Robot. Syst. 61(1-4), 563–585 (2010)

Ambrosia, V. G., Wegener, S., Zajkowski, T., Sullivan, D. V., Buechel, S., Enomoto, F., Lobitz, B., Johan, S., Brass, J., Hinkley, E.: The Ikhana unmanned airborne system (UAS) western states fire imaging missions: from concept to reality (2006–2010). Geocarto Int. 26(2), 85–101 (2011)

Martínez-de-Dios, J.R., Merino, L., Caballero, F., Ollero, A.: Automatic forest-fire measuring using ground stations and unmanned aerial systems. Sensors 11(6), 6328–6353 (2011)

Bradley, J. M., Taylor, C. N.: Georeferenced mosaics for tracking fires using unmanned miniature air vehicles. J. Aerosp. Comput. Inf. Commun. 8(10), 295–309 (2011)

Celik, T., Ozkaramanl, H., Demirel, H.: Fire pixel classification using fuzzy logic and statistical color model. In: IEEE International Conference on Acoustic Speech Signal Processing, vol. 1, pp 1205–1208 (2007)

Chen, T., Wu, P., Chiou, Y.: An early fire-detection method based on image processing. In: IEEE International Conference on Image Processing, pp 1707–1710 (2004)

Toreyin, B. U., Dedeoglu, Y., Cetin, A. E.: Flame detection in video using hidden Markov models. In: IEEE International Conference on Image Processing, vol. 2, pp 1230–1233 (2005)

Celik, T., Demirel, H., Ozkaramanli, H., Uyguroglu, M.: Fire detection using statistical color model in video sequences. J. Visual Commun. Image Represent. 18(2), 176–185 (2007)

Celik, T., Demirel, H.: Fire detection in video sequences using a generic color model. Fire Saf. J. 44(2), 147–158 (2009)

Gunay, O., Tasdemir, K., Toreyin, B. U., Cetin, A. E.: Video based wildfire detection at night. Fire Saf. J. 44(6), 860–868 (2009)

Gunay, O., Toreyin, B. U., Kose, K., Cetin, A. E.: Entropy-functional-based online adaptive decision fusion framework with application to wildfire detection in video. IEEE Trans. Image Process. 21 (5), 2853–2865 (2012)

Phillips, W., Shah, M., Lobo, N. V.: Flame recognition in video. In: IEEE Workshop on Applications of Computer Vision, pp 224–229 (2000)

Ko, B. C., Cheong, K. H., Nam, J. Y.: Fire detection based on vision sensor and support vector machines. Fire Saf. J. 44(3), 322–329 (2009)

Rodríguez-Canosa, G. R., Thomas, S., del Cerro, J., Barrientos, A., MacDonald, B.: A real-time method to detect and track moving objects (DATMO) from unmanned aerial vehicles (UAVs) using a single camera. Remote Sens. 4(4), 1090–1111 (2012)

Miller, A., Babenko, P., Hu, M., Shah, M.: Person Tracking in UAV Video. Lecture Notes in Computer Science. Springer, Berlin/Heidelberg (2008)

Huang, C. H., Wu, Y. T., Kao, J. H., Shih, M. Y., Chou, C. C.: A hybrid moving object detection method for aerial images. In: Pacific-Rim Conference on Multimedia, pp 357–368 (2010)

Suganuma, N., Kubo, T.: Fast dynamic object extraction using stereovision based on occupancy grid maps and optical flow. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), pp 978–983 (2011)

Mueller, M., Karasev, P., Kolesov, I., Tannenbaum, A.: Optical flow estimation for flame detection in videos. IEEE Trans. Image Process. 22(7), 2786–2797 (2013)

Horn, B. K., Schunck, B. G.: Determining optical flow. Artif. Intell. 17(1-3), 185–203 (1981)

Cetin, A. E., Dimitropoulos, K., Gouverneur, B., Grammalidisb, N., Gunaya, O., Habiboglua, Y. H., Töreyind, B. U., Verstockte, S.: Video fire detection–review. Digital Signal Process. 23(6), 827–1843 (2013)

Stevens, B. L., Lewis, F. L.: Aircraft Control and Simulation. Wiley (2003)

Katić, D., Vukobratović, M.: Survey of intelligent control techniques for humanoid robots. J. Intell. Robot. Syst. 37(2), 117–141 (2003)

Amit, Y.: 2D Object Detection and Recognition: Models, Algorithms, and Networks. MIT Press, Chicago: Cambridge, Mass (2002)

Utkin, V. I.: Sliding Modes in Control and Optimization. Springer Science & Business Media (2013)