Forest Fire Detection Using UAV Images and Videos

Mosharaf, Imam; Rahman, Md. Akhlaq Rifat

dc.contributor.author	Mosharaf, Imam
dc.contributor.author	Rahman, Md. Akhlaq Rifat
dc.date.accessioned	2020-11-11T09:20:25Z
dc.date.available	2020-11-11T09:20:25Z
dc.date.issued	2019-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/670
dc.description	Supervised by A. B. M. Ashikur Rahman Assistant Professor Department of Computer Science and Engineering (CSE) Islamic University of Technology (IUT)	en_US
dc.description.abstract	Forest is considered as one of the most important and indispensable part of a country. At least 25 of the total land area of a country should be forest in order to maintain the perfect ecological balance. Because of the climatic condition of that part of the world, this is a very common scenario in those countries and a constant threat. This happens randomly throughout the whole year. Still no one has invented any method to detect or predict forest fire before its occurrence. So we can’t stop it from happening when it occurs due natural causes. But if early detection can be made, we can save a lot of wild lives as well as we can get rid of mass destruction. Our main target there is to detect the fire at a very early stage to take proper measures to stop it from spreading. In this paper we used videos of fire regions. But the detection method is image based. We segmented the video into images and detected fire from those images based on some definite experimental rules. Finally the decision is made based on the threshold values of fire pixels. We went through several filter threshold values in order to minimize the false alarm rate and provide the best possible outcome.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh	en_US
dc.title	Forest Fire Detection Using UAV Images and Videos	en_US
dc.type	Thesis	en_US