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ASTAMIDS minefield detection performance at Aberdeen Proving Ground test site

机译:Astamids MineField检测性能在Aberdeen证明地面测试网站

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The airborne standoff minefield detection systems (ASTAMIDS) is an airborne imaging system designed for deployment as a modular mission payload on an unmanned aerial vehicle and capable of detecting surface and buried anti-tank mines under all-weather, day/night conditions. Its primary mission is to support a forward maneuver unit with real time intelligence regarding the existence and extent of minefields in their operational area. The ASTAMIDS development effort currently consists of two parallel technical approaches, passive thermal IR sensor technology in one case and an active multi-channel sensor utilizing passive thermal IR coregistered with a near IR laser polarization data for the other case. The minefield detection capability of this system is a result of signal processing of image data. Due to the large quantities of data generated by an imaging sensor even at modest speeds of an unmanned aerial vehicle, manual exploitation of this data is not feasible in a real time tactical environment and therefore computer aided target feature extraction is a necessity to provide detection cues. Our development efforts over the past several years have concentrated on mine and minefield detection algorithms, the hardware necessary to execute these algorithms in real time, and the tools with which to measure detection performance.
机译:机载立交机越野检测系统(astamids)是一种空中成像系统,设计用于在无人驾驶飞行器上作为模块化任务有效载荷的部署,并且能够在全天候,日/夜条件下检测表面和埋地的抗储罐矿井。其主要任务是支持具有实时智能的前向操作单元,了解其运营区域中雷区的存在和程度。令人振奋的开发努力目前包括两个并行技术方法,在一种情况下被动热红外传感器技术以及利用具有近红外激光偏振数据的被动热IR的主动多通道传感器用于其他情况。该系统的雷区检测能力是图像数据信号处理的结果。由于成像传感器产生的大量数据,即使在无人驾驶飞行器的适度速度下,在实时战术环境中对该数据的手动开发是不可行的,因此计算机辅助目标特征提取是提供检测线索的必需品。我们在过去几年中的发展努力集中在矿山和雷区检测算法上,实时执行这些算法所需的硬件,以及测量检测性能的工具。

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