Title :
Image analysis algorithms for forest fire monitoring systems
Author :
Vasyukov, V.N. ; Zaitseva, A.Yu.
Author_Institution :
Novosibirsk State Tech. Univ., Novosibirsk, Russia
Abstract :
We describe principles of development of some forest image analysis algorithms proposed for implementation in forest fire early detection systems. Algorithms of geometric background aligning, image segmentation, intensity smoothing, and high-intensity objects contrast detection and movement detection are considered. We demonstrate functionality of developed algorithms and suggest some recommendations on their application.
Keywords :
geophysical image processing; image segmentation; object detection; vegetation; vegetation mapping; wildfires; forest fire early detection systems; forest fire monitoring systems; forest image analysis algorithms; geometric background; high-intensity object contrast detection; image segmentation; intensity smoothing; movement detection; Algorithm design and analysis; Cameras; Detection algorithms; Educational institutions; Fires; Image segmentation; Monitoring; Forest fire; contrast detecting; image segmentation; movement detecting; video monitoring;
Conference_Titel :
Actual Problems of Electronics Instrument Engineering (APEIE), 2014 12th International Conference on
Conference_Location :
Novosibirsk
Print_ISBN :
978-1-4799-6019-4
DOI :
10.1109/APEIE.2014.7040908
