摘要
以三维表面的视觉测量和稀疏表示为研究对象,针对仓储存粮情况信息监测设备成本高、测量过程复杂、数据量巨大等问题,提出了基于曲面稀疏重构的仓储无线传感粮情监测和处理方法。研究设计了正则化可变步长自适应匹配追踪的曲面重构算法,建立了仓储粮情监测的压缩感知测量机制,为大规模仓储管理中粮食数量估计、温湿度异常检测与定位的无线感知测量奠定了理论基础。
Three-dimensional surface visual measurement and sparse representation as the research object,the study puts forward a solution of monitoring on storage and wireless sensor of grain situation based on sparse surface reconstruction, aiming at the issues of high cost of equipment, complexity of measuring process and huge amount of data. The study provides a designation of regularization variable step size adaptive matching pursuit of surface reconstruction algorithm and the establishment of grain storage condition measurement and compressed sensing mechanism, which lays a theoretical foundation for wireless sensor of grain storage estimation, temperature and humidity anomaly detection and positioning in the army logistics warehousing management.
出处
《江西电力职业技术学院学报》
CAS
2017年第4期17-20,共4页
Journal of Jiangxi Vocational and Technical College of Electricity
关键词
三维表面测量
多尺度几何解析
压缩感知
粮食信息处理
three-dimensional surface measurements
multiple-scales geometrical analysis
compressed sensing
food information processing
