公开(公告)号：US20070108379A1

公开(公告)日：2007-05-17

申请号：US11390728

申请日：2006-03-27

申请人： Mark Rowland ,  Tom Gosnell ,  Cheryl Ham ,  Dwight Perkins ,  James Wong

发明人： Mark Rowland ,  Tom Gosnell ,  Cheryl Ham ,  Dwight Perkins ,  James Wong

IPC分类号： G01V5/00

CPC分类号： G01T1/36

摘要： A real time gamma-ray signature/source identification method and system using principal components analysis (PCA) for transforming and substantially reducing one or more comprehensive spectral libraries of nuclear materials types and configurations into a corresponding concise representation/signature(s) representing and indexing each individual predetermined spectrum in principal component (PC) space, wherein an unknown gamma-ray signature may be compared against the representative signature to find a match or at least characterize the unknown signature from among all the entries in the library with a single regression or simple projection into the PC space, so as to substantially reduce processing time and computing resources and enable real-time characterization and/or identification.

摘要翻译： 实时伽马射线签名/源识别方法和使用主成分分析（PCA）的系统，用于将核材料类型和配置的一个或多个综合光谱库转化并显着地减少为相应的简明表示/签名（代表和索引） 主要组件（PC）空间中的每个单独的预定光谱，其中可以将未知伽马射线签名与代表性签名进行比较以从图书馆中的所有条目中用单个回归找到匹配或至少表征未知签名，或者 简单地投影到PC空间中，从而大大减少处理时间和计算资源，并实现实时表征和/或识别。