首页> 外文会议>Conference on detection and sensing of mines, explosive objects, and obscured targets XIV; 20090413-17; Orlando, FL(US) >A Graphical User Interface for Real-Time Spectroscopy:Software Architecture for Data Collection, Feature Extraction, Model Development, and Real-Time Testing
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A Graphical User Interface for Real-Time Spectroscopy:Software Architecture for Data Collection, Feature Extraction, Model Development, and Real-Time Testing

机译:实时光谱的图形用户界面:用于数据收集,特征提取,模型开发和实时测试的软件体系结构

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摘要

Recent advances in Laser-Induced breakdown spectroscopy (LIBS), Raman spectroscopy, and other spectroscopic approaches have increased interest in the application of spectroscopy to detection of explosives along with other chemical-signature identification tasks. However most existing spectroscopic data collection techniques require manual interaction with data files including data manipulation using multiple pieces of software and different file formats, time-consuming feature-selection, and model re-generation. Not only do these steps reduce analytic efficiency and slow the progress of research in spectroscopy, but they also inhibit real-time use of the systems by end-users. In this work we present a graphical user interface designed to increase efficiency for spectroscopic data collection, feature selection, classifier development, and testing. We present a software architecture that provides enough flexibility to handle data from many different spectroscopic sensors. We also discuss feature-level and model-level software components that allow for the features and classification approaches to be manipulated interactively, and we present a simple and intuitive testing screen suitable for an end user to make decisions in the field with out requiring a "human in the loop" for processing.
机译:激光诱导击穿光谱法(LIBS),拉曼光谱法和其他光谱法的最新进展,使人们越来越有兴趣将光谱法用于爆炸物的检测以及其他化学特征识别任务。但是,大多数现有的光谱数据收集技术都需要与数据文件进行手动交互,包括使用多个软件和不同文件格式进行数据操作,耗时的特征选择以及模型重新生成。这些步骤不仅降低了分析效率并减慢了光谱学的研究进程,而且还限制了最终用户对系统的实时使用。在这项工作中,我们提供了一个图形用户界面,旨在提高光谱数据收集,特征选择,分类器开发和测试的效率。我们提出了一种软件体系结构,该体系结构提供了足够的灵活性来处理来自许多不同光谱传感器的数据。我们还讨论了功能级别和模型级别的软件组件,这些功能组件允许交互操作功能和分类方法,并且我们提供了一个简单直观的测试屏幕,适合最终用户在现场进行决策,而无需“人在循环中”进行处理。

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