首页> 外文会议>Conference on Targets and Backgrounds IX: Characterization and Representation Apr 21-22, 2003 Orlando, Florida, USA >Detonation discrimination techniques using a Fourier Transform Infrared Spectrometer system and a Near-Infrared Focal Plane Array
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Detonation discrimination techniques using a Fourier Transform Infrared Spectrometer system and a Near-Infrared Focal Plane Array

机译:使用傅里叶变换红外光谱仪系统和近红外焦平面阵列的爆轰识别技术

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摘要

To investigate the possibility of battlespace characterization, including the ability to classify munitions type and size, experimental data has been collected remotely from ground-based sensors, processed, and analyzed for several conventional munitions. The spectral, temporal and spatial infrared signatures from bomb detonations were simultaneously recorded using a Bomem MR157 Fourier Transform Infrared Spectrometer and an Indigo Systems Alpha Near-Infrared camera. Three different high explosive materials at three different quantities each were examined in one series of field studies. The FTIR spectra were recorded at 4 cm~(-1) spectral resolution and 123-ms temporal resolution using both HgCdTd (500-6000 cm~(-1)) and InSb (1800-6000 cm~(-1)) detectors. Novel key features have been identified that will aid in discriminating various types and sizes of flashes. These features include spectral dependent projections of one event's temporal data onto another event's temporal data, time dependence of the fireball size, ratios of specific integrated bands, and spectral dependence of temporal fit constants. Using Fisher discrimination and principal component techniques these features are projected onto a line that maximizes the differences in the classes of flashes and then identify the Bayesian decision boundaries for classification.
机译:为了研究表征战场的可能性,包括对弹药的类型和大小进行分类的能力,已经从地面传感器远程收集了实验数据,对几种常规弹药进行了处理和分析。使用Bomem MR157傅立叶变换红外光谱仪和Indigo Systems Alpha近红外摄像机同时记录了炸弹爆炸的光谱,时间和空间红外特征。在一系列的现场研究中,对三种不同数量的三种不同的高爆炸物材料进行了检查。使用HgCdTd(500-6000 cm〜(-1))和InSb(1800-6000 cm〜(-1))检测器以4 cm〜(-1)光谱分辨率和123ms时间分辨率记录FTIR光谱。已经确定了新颖的关键功能,将有助于区分各种类型和大小的闪光灯。这些功能包括一个事件的时间数据到另一个事件的时间数据上的频谱相关投影,火球大小的时间相关性,特定积分带的比率以及时间拟合常数的频谱相关性。通过使用Fisher判别和主成分技术,这些特征被投影到一条线上,该闪烁线将最大程度地区分闪烁,然后确定用于分类的贝叶斯决策边界。

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