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Imaging sensor constellation for tomographic chemical cloud mapping

机译:层析成像化学云图的成像传感器星座图

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摘要

A sensor constellation capable of determining the location and detailed concentration distribution of chemical warfare agent simulant clouds has been developed and demonstrated on government test ranges. The constellation is based on the use of standoff passive multispectral infrared imaging sensors to make column density measurements through the chemical cloud from two or more locations around its periphery. A computed tomography inversion method is employed to produce a 3D concentration profile of the cloud from the 2D line density measurements. We discuss the theoretical basis of the approach and present results of recent field experiments where controlled releases of chemical warfare agent simulants were simultaneously viewed by three chemical imaging sensors. Systematic investigations of the algorithm using synthetic data indicate that for complex functions, 3D reconstruction errors are less than 20percent even in the case of a limited three-sensor measurement network. Field data results demonstrate the capability of the constellation to determine 3D concentration profiles that account for approx<86percent> of the total known mass of material released.
机译:已经开发了一种能够确定化学战剂模拟云的位置和详细浓度分布的传感器星座图,并在政府测试范围内进行了演示。该星座基于对峙被动多光谱红外成像传感器的使用,可以从化学云周围的两个或多个位置对化学云进行列密度测量。计算机断层扫描反演方法用于根据2D线密度测量结果生成云的3D浓度分布。我们讨论了该方法的理论基础,并介绍了最近的野外实验结果,其中通过三个化学成像传感器同时查看了化学战剂模拟物的受控释放。使用合成数据对该算法进行的系统研究表明,对于复杂功能,即使在有限的三传感器测量网络的情况下,3D重构误差也小于20%。现场数据结果证明了星座确定3D浓度分布的能力,该浓度分布约占释放的已知物质总质量的86%。

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