Abstract : Forests are regarded as one of the most valuable and necessary resources. Forest fire is one of the most common dangers in the woods. It has a significant negative impact on the forest and results in a significant financial loss. To protect natural resources as well as human safety and property. Early detection of forest fires can have a major effect on forest fire management. Various researchers have suggested a variety of forest fire detection techniques. There are a plethora of methods for detecting forest fires. A fire detection system for the use of an IR camera in UAV-based forest fire surveillance. The accuracy and reliability of forest fire detection are improved with this method. This paper is a review of the literature on forest fire detection.
Keywords : Forest Fire Detection, UAV Based Forest Fire Surveillance
Cite :
References :
Moragues J., Bosch I., Vergaa L. Infrared image processing and its application to forest fire surveillance. Conference Paper. October 2007
Aslan, Y. A framework for the use of wireless sensor networks in the forest fire detection and monitoring [M.S. thesis]2010Department of Computer Engineering, The Institute of Engineering and Science Bilkent University
Xiao J., Jie Li, Zhang J. Identification of forest fire based on digital image processing. 2nd international congress on image and signal processing. 2009.
Yuan C. UAV-based forest fire detection & tracking using image processing technique International conference. 2015.
Conrad, A., Liu, Q., Russell, J., Lalla, J.Enhanced Forest Fire Detection System with GPS Pennsylvania2009
Hang W.B., Peg J.W. A new image based real time flame detection method using color analysis. Proc. of IEEE Network sensing and Control. 2005.
Turgay, Demirel H. Fire detection in video sequence using a generic color model. Fire Safety Journal. 2009, 4, 147-158p.
Zhao J., Zhang Z., Han S., Yuan Z. Svm based forest fire detection using static and dynamic features. Computer Science and Information System.2011.
Qiu T., Yan Y., Lu G. An auto adaptive edge-detection algorithm for flame and fire image processing. IEEE Transactions on Instrumentation and Measurement. 2012.
Chino D.Y., Avalhais L.P., Traina A.J. Bow fire: detection of fire in still images by integrating pixel color and texture analysis. 28th Conference on Graphics, Pattern and Images. 2015.
Y. G. Sahin and T. Ince, “Early forest fire detection using radio-acoustic sounding system,” Sensors, vol. 9, no. 3, pp. 1485–1498, 2009.
Angayarkkani K., Radhakrishnan N. An intelligent system for effective forest fire detection using spatial data. International Journal of Computer Science and Information Security. 2010.
Celik T., Demirel H., Ozkaramanli H. Automatic fire detection in video sequence. Proc. of European Signal Processing Conference. September 2006
