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The Scientific World Journal
Volume 2013 (2013), Article ID 402196, 10 pages
Research Article

Multisensor Network System for Wildfire Detection Using Infrared Image Processing

Signal Processing Group, Institute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València, Camino de Vera, S/N, 46022 Valencia, Spain

Received 13 April 2013; Accepted 22 May 2013

Academic Editors: A. E. Cetin, I. Korpeoglu, B. U. Toreyin, and S. Verstockt

Copyright © 2013 I. Bosch et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Chi Yuan, Youmin Zhang, and Zhixiang Liu, “A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques,” Canadian Journal of Forest Research, pp. 783–792, 2015. View at Publisher · View at Google Scholar
  • Jong-Hwan Kim, and Brian Y. Lattimer, “Real-time probabilistic classification of fire and smoke using thermal imagery for intelligent firefighting robot,” Fire Safety Journal, vol. 72, pp. 40–49, 2015. View at Publisher · View at Google Scholar
  • Pedro Canales Mengod, Jose Andres Torrent Bravo, and Leticia Lopez Sarda, “The influence of external factors on false alarms in an infrared fire detection system,” International Journal Of Wildland Fire, vol. 24, no. 2, pp. 261–266, 2015. View at Publisher · View at Google Scholar
  • Ting-Yu Zhong, Wen-Ping Liu, and Peng-Ju Liu, “A forest fire smoke detection algorithm based on fractional-calculus video fusion,” Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University, vol. 39, no. 3, pp. 24–31, 2017. View at Publisher · View at Google Scholar