The Application of the Data Fusion to Forest-Fire Harm Degree
Yubin He, Yue Wang · ASME Press eBooks · 2011
This paper brings in Multi-source data fusion to solve the limitation of single sensor in the detecting of Forest-fire Harm Degree, and then analyses the basic theory. It sets up the forecast model of Forest-fire Harm Degree by using the BP Neural Networks and fuzzy theory and analyses the influence of temperature, humidity, rainfall, wind speed and sunlight. Through the simulation experiment it proves that the model has a high forecast precision.