Title :
A kind of identification method of geometric parameters for forest fire
Author :
Yan, Fei ; Xu, Xing ; Han, Ning
Author_Institution :
Sch. of Technol., Beijing Forestry Univ., Beijing, China
Abstract :
Forest fire is a kind of natural disaster with devastating effect on the ecological environment of the earth. In order to obtain the wildfire information in the fire scene in time and improve firefighters´ efficiency to suppress the fire, the digital information about the forest fire which can exactly depict the fire behavior is very important for the fire-fighting department to give a correct extinguishing decision. Here the concept of fire geometric parameters which include terrain inclination angle, flame inclination angle, flame point, flame height, flame base width, flame length and so on is put forward. At the same time a set of parameter identification approaches is proposed which includes contour extraction, feature point extraction and feature parameter calculation. Especially two novel extraction methods of the feature point of the fire image contour are discussed in detail and a kind of geometric parameter calculation method of the forest fire with a triangle contour is given.
Keywords :
disasters; feature extraction; fires; forestry; image segmentation; parameter estimation; contour extraction; ecological environment; extinguishing decision; feature parameter calculation; feature point extraction; fire fighting department; fire geometric parameters; fire image contour; firefighters efficiency; forest fire; identification method; natural disaster; parameter identification approach; terrain inclination angle; wildfire information; Arrays; Feature extraction; Fires; Image color analysis; Image edge detection; Pixel; Real time systems; feature point; fire contour; fire detection; forest firet; geometric parameter;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555608