DocumentCode :
3475729
Title :
Algorithms of fire seat detection, modeling their dynamics and observation of forest fires via communication technologies
Author :
Ruchkin, Vladimir ; Kolesenkov, Aleksandr ; Kostrov, Boris ; Ruchkina, Ekaterina
Author_Institution :
Eng. Dept., Ryazan State Univ., Ryazan, Russia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
254
Lastpage :
257
Abstract :
The work analyzes technical and experimental research in the field of fire monitoring. The authors suggest the algorithms of fire detection, the identification of the seats of fire, the modeling, the determination of the spreading and the following of the fire by satellite images processing. The methodology is implemented by the creation of the intelligent telecommunication structures on the base of neuroprocessor systems NM640X capable to learn in the conditions of uncertainty.
Keywords :
fires; forestry; geophysical image processing; microprocessor chips; neural nets; communication technologies; fire monitoring; fire seat detection; forest fires; intelligent telecommunication structures; neuroprocessor systems NM640X; satellite images processing; Algorithm design and analysis; Brightness; Embedded computing; Fires; Heuristic algorithms; Monitoring; Vegetation; clusters; detection; detection of fire clusters; equivalence classes; image processing; intellectual telecommunications structure; microcomputer module MB 7707; modelling and dynamics of fire spreading; real time; seat of fire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181916
Filename :
7181916
Link To Document :
بازگشت