title: Multisensor network system for wildfire detection using infrared image processing.
abstract: This paper presents the next step in the evolution of multi-sensor wireless network systems in the early automatic detection of forest fires. This network allows remote monitoring of each of the locations as well as communication between each of the sensors and with the control stations. The result is an increased coverage area, with quicker and safer responses. To determine the presence of a forest wildfire, the system employs decision fusion in thermal imaging, which can exploit various expected characteristics of a real fire, including short-term persistence and long-term increases over time. Results from testing in the laboratory and in a real environment are presented to authenticate and verify the accuracy of the operation of the proposed system. The system performance is gauged by the number of alarms and the time to the first alarm (corresponding to a real fire), for different probability of false alarm (PFA). The necessity of including decision fusion is thereby demonstrated.
authors.affiliation: Signal Processing Group, Institute of Telecommunications and Multimedia Applications, Universitat Politècnica de València, Camino de Vera, S/N, 46022 Valencia, Spain. igbosroi@dcom.upv.es
authors.forename: I
authors.initials: I
authors.lastname: Bosch
authors.forename: A
authors.initials: A
authors.lastname: Serrano
authors.forename: L
authors.initials: L
authors.lastname: Vergara
mesh_terms: D003195:Computer Communication Networks / Q000295:instrumentation*; D004784:Environmental Monitoring / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005390:Fires; D007090:Image Interpretation, Computer-Assisted / Q000295:instrumentation*; D007259:Infrared Rays; D013817:Thermography / Q000295:instrumentation*; D014159:Transducers; D059015:Wireless Technology / Q000295:instrumentation*