摘要
提出了一种基于无线智能传感网络和3S(RS、GPS、GIS)技术的大面积种植农业监控系统,该系统采用4G网络和Zig Bee构建智能传感网络系统。为提高采集的数据信息有效性和准确性,在设计中采用数据融合方法:区域异质传感器特征关联融合和决策层融合,创新点在于数据融合中采用特征提特征向量,通过这一向量建立线性正态模型、非线性模型解决区域目标融合。
Based on a wireless intelligent sensor network and 3S(GPS, GIS, RS) technology, proposes a large area planting agriculture monitoring system. The system uses 4G network and Zig Bee to build a smart sensor network system. In order to improve the data validity and accuracy, uses data fusion method in the design:regional heterogeneous sensor association feature fusion and decision fusion, innovations in data fusion using feature extraction feature vector, the vector of normal linear model, nonlinear model to solve the goal of regional integra-tion.
出处
《现代计算机》
2017年第1期51-55,63,共6页
Modern Computer
基金
成都农业科技职业学院院级科研课题(No.cny14-13)
关键词
3S技术
智能传感
数据融合
3S Technology
Intelligent Sensor
Data Fusion