太赫兹科学与电子信息学报Issue(5)：740-744,766,6.DOI:10.11805/TKYDA201405.0740
云计算下基于贝叶斯网络的多传感器目标识别
Multi-sensor target recognition based on Bayesian classifier in cloud computing environment
摘要
Abstract
Based on the cloud computing characteristics of distributed parallel processing of massive data,multi-sensor target recognition on the Hadoop platform is put forward, which consists of a plurality of nodes running on computer clusters. Bayesian network structure is established according to target recognition theory.Thedata obtained by the pre-process of object recognition are fusion-calculated to deduce the target type. The efficiencies of Hadoop clusters under different circumstances are compared. Experimental results show that running multi-sensor information fusion target recognition on cloud computing platform is intuitive and effective, which successfully improves the operational efficiency.关键词
目标识别/云计算/Hadoop平台/贝叶斯网络/多传感器/信息融合Key words
target recognition/cloud computing/Hadoop/Bayesian network/multi-sensor/information fusion分类
信息技术与安全科学引用本文复制引用
张明,李波,刘学全,高晓光..云计算下基于贝叶斯网络的多传感器目标识别[J].太赫兹科学与电子信息学报,2014,(5):740-744,766,6.基金项目
航天技术支撑基金资助项目(2013-HT-XGD)；西北工业大学基础研究基金资助项目(JC201144) （2013-HT-XGD）
