数据融合技术及其在林业中的应用

Data Fusion and Its Applications in Forestry

介绍了数据融合技术的基本概念和内容,分析了该技术在森林防火、森林蓄积特征的估计和更新、森林资源调查等方面的应用,提出该技术可应用于木材无损检测及精确林业。融合机器视觉、X射线等单一传感器技术检测木材及木制品,可以更准确地实时检测出木材的各种缺陷;集成GPS、GIS、RS及各种实时传感器信息,利用智能决策支持系统以及可变量技术,能够实现基于自然界生物及其赖以生存的环境资源的时空变异性的客观现实,建立基于信息流融合的精确林业系统。

The concept and the basic contents of data fusion were briefly introduced. After the applications in forest fire prevention, estimation of forest variables and updating forest inventory were analyzed, and the applications in wood non-destructive detection and precision application were prospected. The technology could inspect the wood and its products more precisely by fusing single-sensor technologies such as machine vision and X-ray. GIS, GPS, RS and other real-time sensors could be integrated to create the world of spatial-temporal variability based on nature biology and their environment recourses and establish precision forest system by decision support system （DSS） and variable rate technique （VRT）.